Overview

Dataset statistics

Number of variables163
Number of observations63
Missing cells4814
Missing cells (%)46.9%
Total size in memory87.8 KiB
Average record size in memory1.4 KiB

Variable types

Numeric154
Text1
DateTime1
Boolean6
Unsupported1

Dataset

Description[unitless] Question and answers. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
CreatorAndrea Bontempelli, Roy Alia Asiku
AuthorMatteo Busso, Andrea Bontempelli
URL
Copyright(c) Knowledge Diversity, Trento University 2024

Alerts

experimentid has constant value "mak_2024"Constant
D06_06 has constant value "False"Constant
A01 is highly overall correlated with B01_30 and 46 other fieldsHigh correlation
A02 is highly overall correlated with C04 and 31 other fieldsHigh correlation
A03 is highly overall correlated with A05 and 32 other fieldsHigh correlation
A04 is highly overall correlated with C10_39 and 38 other fieldsHigh correlation
A05 is highly overall correlated with A03 and 32 other fieldsHigh correlation
A07 is highly overall correlated with C04 and 33 other fieldsHigh correlation
A11 is highly overall correlated with C04 and 26 other fieldsHigh correlation
B01_12 is highly overall correlated with C04 and 43 other fieldsHigh correlation
B01_13 is highly overall correlated with B01_23 and 29 other fieldsHigh correlation
B01_14 is highly overall correlated with C10_39 and 26 other fieldsHigh correlation
B01_15 is highly overall correlated with C10_39 and 39 other fieldsHigh correlation
B01_16 is highly overall correlated with C04 and 32 other fieldsHigh correlation
B01_17 is highly overall correlated with B01_25 and 29 other fieldsHigh correlation
B01_18 is highly overall correlated with C04 and 46 other fieldsHigh correlation
B01_19 is highly overall correlated with C07 and 35 other fieldsHigh correlation
B01_20 is highly overall correlated with C04 and 22 other fieldsHigh correlation
B01_21 is highly overall correlated with C04 and 28 other fieldsHigh correlation
B01_22 is highly overall correlated with C10_39 and 45 other fieldsHigh correlation
B01_23 is highly overall correlated with B01_13 and 26 other fieldsHigh correlation
B01_24 is highly overall correlated with C04 and 33 other fieldsHigh correlation
B01_25 is highly overall correlated with B01_17 and 42 other fieldsHigh correlation
B01_26 is highly overall correlated with C10_37 and 47 other fieldsHigh correlation
B01_27 is highly overall correlated with C08 and 41 other fieldsHigh correlation
B01_28 is highly overall correlated with B01_25 and 30 other fieldsHigh correlation
B01_29 is highly overall correlated with B01_31 and 29 other fieldsHigh correlation
B01_30 is highly overall correlated with A01 and 43 other fieldsHigh correlation
B01_31 is highly overall correlated with B01_29 and 36 other fieldsHigh correlation
C04 is highly overall correlated with A02 and 23 other fieldsHigh correlation
C07 is highly overall correlated with A11 and 22 other fieldsHigh correlation
C08 is highly overall correlated with A01 and 25 other fieldsHigh correlation
C10_37 is highly overall correlated with A03 and 21 other fieldsHigh correlation
C10_38 is highly overall correlated with A01 and 25 other fieldsHigh correlation
C10_39 is highly overall correlated with A01 and 38 other fieldsHigh correlation
C10_40 is highly overall correlated with A01 and 25 other fieldsHigh correlation
C10_41 is highly overall correlated with B01_13 and 20 other fieldsHigh correlation
C10_42 is highly overall correlated with A01 and 24 other fieldsHigh correlation
C10_43 is highly overall correlated with A01 and 28 other fieldsHigh correlation
C12_45 is highly overall correlated with A04 and 31 other fieldsHigh correlation
C12_46 is highly overall correlated with A03 and 19 other fieldsHigh correlation
C12_47 is highly overall correlated with A01 and 37 other fieldsHigh correlation
C12_48 is highly overall correlated with A01 and 28 other fieldsHigh correlation
C12_49 is highly overall correlated with A01 and 23 other fieldsHigh correlation
D01 is highly overall correlated with A01 and 37 other fieldsHigh correlation
D02 is highly overall correlated with A01 and 27 other fieldsHigh correlation
D03_54 is highly overall correlated with A01 and 48 other fieldsHigh correlation
D03_55 is highly overall correlated with A01 and 55 other fieldsHigh correlation
D03_57 is highly overall correlated with A01 and 55 other fieldsHigh correlation
D03_58 is highly overall correlated with A01 and 49 other fieldsHigh correlation
D03_61 is highly overall correlated with A01 and 54 other fieldsHigh correlation
D04 is highly overall correlated with A01 and 49 other fieldsHigh correlation
D06_01 is highly overall correlated with A01 and 26 other fieldsHigh correlation
D06_02 is highly overall correlated with B01_12 and 41 other fieldsHigh correlation
D06_03 is highly overall correlated with A01 and 27 other fieldsHigh correlation
D06_04 is highly overall correlated with B01_12 and 39 other fieldsHigh correlation
D06_05 is highly overall correlated with B01_12 and 34 other fieldsHigh correlation
E01_03 is highly overall correlated with A01 and 28 other fieldsHigh correlation
E01_04 is highly overall correlated with A01 and 29 other fieldsHigh correlation
E01_05 is highly overall correlated with A01 and 24 other fieldsHigh correlation
E01_06 is highly overall correlated with A01 and 28 other fieldsHigh correlation
E01_07 is highly overall correlated with A01 and 28 other fieldsHigh correlation
E01_08 is highly overall correlated with A02 and 30 other fieldsHigh correlation
E01_09 is highly overall correlated with A02 and 31 other fieldsHigh correlation
E01_10 is highly overall correlated with A01 and 24 other fieldsHigh correlation
E01_11 is highly overall correlated with A03 and 20 other fieldsHigh correlation
E01_12 is highly overall correlated with A01 and 28 other fieldsHigh correlation
E01_13 is highly overall correlated with A02 and 28 other fieldsHigh correlation
E01_14 is highly overall correlated with A07 and 35 other fieldsHigh correlation
E01_15 is highly overall correlated with A01 and 26 other fieldsHigh correlation
E01_16 is highly overall correlated with A01 and 25 other fieldsHigh correlation
E01_17 is highly overall correlated with A01 and 21 other fieldsHigh correlation
E01_18 is highly overall correlated with A01 and 22 other fieldsHigh correlation
E01_19 is highly overall correlated with A01 and 22 other fieldsHigh correlation
E01_20 is highly overall correlated with A01 and 26 other fieldsHigh correlation
E01_21 is highly overall correlated with A01 and 26 other fieldsHigh correlation
E01_22 is highly overall correlated with A01 and 21 other fieldsHigh correlation
E01_23 is highly overall correlated with A02 and 27 other fieldsHigh correlation
E01_24 is highly overall correlated with A02 and 26 other fieldsHigh correlation
E01_25 is highly overall correlated with A02 and 26 other fieldsHigh correlation
E01_26 is highly overall correlated with A07 and 19 other fieldsHigh correlation
E01_27 is highly overall correlated with A04 and 29 other fieldsHigh correlation
E01_28 is highly overall correlated with A02 and 26 other fieldsHigh correlation
E01_29 is highly overall correlated with A01 and 24 other fieldsHigh correlation
E01_30 is highly overall correlated with A02 and 32 other fieldsHigh correlation
E01_31 is highly overall correlated with A04 and 35 other fieldsHigh correlation
E01_32 is highly overall correlated with A01 and 32 other fieldsHigh correlation
E01_33 is highly overall correlated with A01 and 27 other fieldsHigh correlation
E01_34 is highly overall correlated with A02 and 29 other fieldsHigh correlation
E01_35 is highly overall correlated with A04 and 21 other fieldsHigh correlation
E01_36 is highly overall correlated with A01 and 27 other fieldsHigh correlation
E01_37 is highly overall correlated with A01 and 31 other fieldsHigh correlation
F01_34 is highly overall correlated with C07 and 14 other fieldsHigh correlation
F01_35 is highly overall correlated with C08 and 34 other fieldsHigh correlation
F01_36 is highly overall correlated with C04 and 37 other fieldsHigh correlation
F01_37 is highly overall correlated with C10_39 and 41 other fieldsHigh correlation
F01_38 is highly overall correlated with C04 and 38 other fieldsHigh correlation
F01_39 is highly overall correlated with C07 and 33 other fieldsHigh correlation
F01_40 is highly overall correlated with B01_29 and 33 other fieldsHigh correlation
F01_41 is highly overall correlated with C04 and 29 other fieldsHigh correlation
F01_42 is highly overall correlated with C10_39 and 28 other fieldsHigh correlation
F01_43 is highly overall correlated with C07 and 36 other fieldsHigh correlation
F01_44 is highly overall correlated with C04 and 29 other fieldsHigh correlation
F01_45 is highly overall correlated with C08 and 37 other fieldsHigh correlation
F01_46 is highly overall correlated with C07 and 43 other fieldsHigh correlation
F01_47 is highly overall correlated with C10_39 and 42 other fieldsHigh correlation
F01_48 is highly overall correlated with C07 and 40 other fieldsHigh correlation
F01_49 is highly overall correlated with B01_29 and 33 other fieldsHigh correlation
F01_50 is highly overall correlated with C04 and 31 other fieldsHigh correlation
F01_51 is highly overall correlated with F01_36 and 2 other fieldsHigh correlation
F01_52 is highly overall correlated with B01_29 and 38 other fieldsHigh correlation
F01_53 is highly overall correlated with C07 and 20 other fieldsHigh correlation
F01_54 is highly overall correlated with B01_17 and 34 other fieldsHigh correlation
F01_55 is highly overall correlated with C07 and 34 other fieldsHigh correlation
F01_56 is highly overall correlated with C04 and 41 other fieldsHigh correlation
F01_57 is highly overall correlated with C10_39 and 43 other fieldsHigh correlation
F01_58 is highly overall correlated with C04 and 30 other fieldsHigh correlation
F01_59 is highly overall correlated with C08 and 29 other fieldsHigh correlation
F01_60 is highly overall correlated with C10_41 and 29 other fieldsHigh correlation
F01_61 is highly overall correlated with C04 and 50 other fieldsHigh correlation
F01_62 is highly overall correlated with C10_39 and 32 other fieldsHigh correlation
F01_63 is highly overall correlated with C04 and 50 other fieldsHigh correlation
F01_64 is highly overall correlated with C10_39 and 27 other fieldsHigh correlation
F01_65 is highly overall correlated with C07 and 41 other fieldsHigh correlation
F01_66 is highly overall correlated with C04 and 44 other fieldsHigh correlation
F01_67 is highly overall correlated with B01_27 and 34 other fieldsHigh correlation
F01_68 is highly overall correlated with C10_39 and 47 other fieldsHigh correlation
F01_69 is highly overall correlated with B01_28 and 31 other fieldsHigh correlation
F01_70 is highly overall correlated with C07 and 34 other fieldsHigh correlation
F01_71 is highly overall correlated with C10_39 and 40 other fieldsHigh correlation
F01_72 is highly overall correlated with C04 and 34 other fieldsHigh correlation
F01_73 is highly overall correlated with C10_39 and 38 other fieldsHigh correlation
G01_05 is highly overall correlated with Y01_25High correlation
G01_06 is highly overall correlated with A01 and 25 other fieldsHigh correlation
G01_07 is highly overall correlated with A01 and 25 other fieldsHigh correlation
G01_10 is highly overall correlated with G02_16High correlation
G02_13 is highly overall correlated with A01 and 28 other fieldsHigh correlation
G02_14 is highly overall correlated with A01 and 27 other fieldsHigh correlation
G02_15 is highly overall correlated with A04 and 27 other fieldsHigh correlation
G02_16 is highly overall correlated with A01 and 34 other fieldsHigh correlation
G02_17 is highly overall correlated with A07 and 16 other fieldsHigh correlation
G02_18 is highly overall correlated with A02 and 30 other fieldsHigh correlation
G02_19 is highly overall correlated with A01 and 29 other fieldsHigh correlation
G02_20 is highly overall correlated with A02 and 37 other fieldsHigh correlation
Y01_23 is highly overall correlated with A02 and 29 other fieldsHigh correlation
Y01_24 is highly overall correlated with Y01_27High correlation
Y01_25 is highly overall correlated with A02 and 26 other fieldsHigh correlation
Y01_26 is highly overall correlated with Y01_23High correlation
Y01_27 is highly overall correlated with Y01_24High correlation
Y01_28 is highly overall correlated with A03 and 15 other fieldsHigh correlation
Y01_29 is highly overall correlated with A02 and 27 other fieldsHigh correlation
Y02 is highly overall correlated with A01 and 30 other fieldsHigh correlation
Y04 is highly overall correlated with A04 and 27 other fieldsHigh correlation
userid is highly overall correlated with F01_59High correlation
D06_01 is highly imbalanced (65.5%)Imbalance
D06_02 is highly imbalanced (65.5%)Imbalance
E01_03 has 29 (46.0%) missing valuesMissing
E01_04 has 29 (46.0%) missing valuesMissing
E01_05 has 29 (46.0%) missing valuesMissing
E01_06 has 29 (46.0%) missing valuesMissing
E01_07 has 29 (46.0%) missing valuesMissing
E01_08 has 29 (46.0%) missing valuesMissing
E01_09 has 29 (46.0%) missing valuesMissing
E01_10 has 29 (46.0%) missing valuesMissing
E01_11 has 30 (47.6%) missing valuesMissing
E01_12 has 29 (46.0%) missing valuesMissing
E01_13 has 29 (46.0%) missing valuesMissing
E01_14 has 29 (46.0%) missing valuesMissing
E01_15 has 29 (46.0%) missing valuesMissing
E01_16 has 29 (46.0%) missing valuesMissing
E01_17 has 29 (46.0%) missing valuesMissing
E01_18 has 29 (46.0%) missing valuesMissing
E01_19 has 29 (46.0%) missing valuesMissing
E01_20 has 29 (46.0%) missing valuesMissing
E01_21 has 29 (46.0%) missing valuesMissing
E01_22 has 29 (46.0%) missing valuesMissing
E01_23 has 29 (46.0%) missing valuesMissing
E01_24 has 29 (46.0%) missing valuesMissing
E01_25 has 29 (46.0%) missing valuesMissing
E01_26 has 29 (46.0%) missing valuesMissing
E01_27 has 29 (46.0%) missing valuesMissing
E01_28 has 29 (46.0%) missing valuesMissing
E01_29 has 29 (46.0%) missing valuesMissing
E01_30 has 29 (46.0%) missing valuesMissing
E01_31 has 29 (46.0%) missing valuesMissing
E01_32 has 29 (46.0%) missing valuesMissing
E01_33 has 29 (46.0%) missing valuesMissing
E01_34 has 29 (46.0%) missing valuesMissing
E01_35 has 29 (46.0%) missing valuesMissing
E01_36 has 29 (46.0%) missing valuesMissing
E01_37 has 29 (46.0%) missing valuesMissing
Y04 has 28 (44.4%) missing valuesMissing
G01_05 has 28 (44.4%) missing valuesMissing
G01_06 has 28 (44.4%) missing valuesMissing
G01_07 has 28 (44.4%) missing valuesMissing
G01_08 has 28 (44.4%) missing valuesMissing
G01_09 has 28 (44.4%) missing valuesMissing
G01_10 has 28 (44.4%) missing valuesMissing
G01_11 has 28 (44.4%) missing valuesMissing
G02_13 has 28 (44.4%) missing valuesMissing
G02_14 has 28 (44.4%) missing valuesMissing
G02_15 has 28 (44.4%) missing valuesMissing
G02_16 has 28 (44.4%) missing valuesMissing
G02_17 has 28 (44.4%) missing valuesMissing
G02_18 has 28 (44.4%) missing valuesMissing
G02_19 has 28 (44.4%) missing valuesMissing
G02_20 has 28 (44.4%) missing valuesMissing
Y01_23 has 28 (44.4%) missing valuesMissing
Y01_24 has 28 (44.4%) missing valuesMissing
Y01_25 has 28 (44.4%) missing valuesMissing
Y01_26 has 28 (44.4%) missing valuesMissing
Y01_27 has 28 (44.4%) missing valuesMissing
Y01_28 has 28 (44.4%) missing valuesMissing
Y01_29 has 28 (44.4%) missing valuesMissing
Y02 has 28 (44.4%) missing valuesMissing
C01 has 28 (44.4%) missing valuesMissing
C04 has 28 (44.4%) missing valuesMissing
C07 has 28 (44.4%) missing valuesMissing
C08 has 28 (44.4%) missing valuesMissing
C10_37 has 28 (44.4%) missing valuesMissing
C10_38 has 28 (44.4%) missing valuesMissing
C10_39 has 29 (46.0%) missing valuesMissing
C10_40 has 28 (44.4%) missing valuesMissing
C10_41 has 28 (44.4%) missing valuesMissing
C10_42 has 28 (44.4%) missing valuesMissing
C10_43 has 28 (44.4%) missing valuesMissing
C12_45 has 28 (44.4%) missing valuesMissing
C12_46 has 28 (44.4%) missing valuesMissing
C12_47 has 28 (44.4%) missing valuesMissing
C12_48 has 29 (46.0%) missing valuesMissing
C12_49 has 28 (44.4%) missing valuesMissing
D01 has 28 (44.4%) missing valuesMissing
D02 has 28 (44.4%) missing valuesMissing
D03_54 has 32 (50.8%) missing valuesMissing
D03_55 has 32 (50.8%) missing valuesMissing
D03_56 has 32 (50.8%) missing valuesMissing
D03_57 has 32 (50.8%) missing valuesMissing
D03_58 has 32 (50.8%) missing valuesMissing
D03_59 has 32 (50.8%) missing valuesMissing
D03_60 has 32 (50.8%) missing valuesMissing
D03_61 has 32 (50.8%) missing valuesMissing
D04 has 32 (50.8%) missing valuesMissing
D06_01 has 32 (50.8%) missing valuesMissing
D06_02 has 32 (50.8%) missing valuesMissing
D06_03 has 32 (50.8%) missing valuesMissing
D06_04 has 32 (50.8%) missing valuesMissing
D06_05 has 32 (50.8%) missing valuesMissing
D06_06 has 32 (50.8%) missing valuesMissing
D06_other has 63 (100.0%) missing valuesMissing
A01 has 31 (49.2%) missing valuesMissing
A02 has 31 (49.2%) missing valuesMissing
A03 has 31 (49.2%) missing valuesMissing
A04 has 31 (49.2%) missing valuesMissing
A05 has 31 (49.2%) missing valuesMissing
A07 has 31 (49.2%) missing valuesMissing
A11 has 31 (49.2%) missing valuesMissing
B01_12 has 31 (49.2%) missing valuesMissing
B01_13 has 31 (49.2%) missing valuesMissing
B01_14 has 31 (49.2%) missing valuesMissing
B01_15 has 31 (49.2%) missing valuesMissing
B01_16 has 31 (49.2%) missing valuesMissing
B01_17 has 31 (49.2%) missing valuesMissing
B01_18 has 31 (49.2%) missing valuesMissing
B01_19 has 31 (49.2%) missing valuesMissing
B01_20 has 31 (49.2%) missing valuesMissing
B01_21 has 31 (49.2%) missing valuesMissing
B01_22 has 31 (49.2%) missing valuesMissing
B01_23 has 31 (49.2%) missing valuesMissing
B01_24 has 31 (49.2%) missing valuesMissing
B01_25 has 31 (49.2%) missing valuesMissing
B01_26 has 31 (49.2%) missing valuesMissing
B01_27 has 31 (49.2%) missing valuesMissing
B01_28 has 31 (49.2%) missing valuesMissing
B01_29 has 31 (49.2%) missing valuesMissing
B01_30 has 31 (49.2%) missing valuesMissing
B01_31 has 31 (49.2%) missing valuesMissing
F01_34 has 31 (49.2%) missing valuesMissing
F01_35 has 31 (49.2%) missing valuesMissing
F01_36 has 31 (49.2%) missing valuesMissing
F01_37 has 31 (49.2%) missing valuesMissing
F01_38 has 31 (49.2%) missing valuesMissing
F01_39 has 31 (49.2%) missing valuesMissing
F01_40 has 31 (49.2%) missing valuesMissing
F01_41 has 31 (49.2%) missing valuesMissing
F01_42 has 31 (49.2%) missing valuesMissing
F01_43 has 31 (49.2%) missing valuesMissing
F01_44 has 31 (49.2%) missing valuesMissing
F01_45 has 31 (49.2%) missing valuesMissing
F01_46 has 31 (49.2%) missing valuesMissing
F01_47 has 31 (49.2%) missing valuesMissing
F01_48 has 31 (49.2%) missing valuesMissing
F01_49 has 31 (49.2%) missing valuesMissing
F01_50 has 31 (49.2%) missing valuesMissing
F01_51 has 31 (49.2%) missing valuesMissing
F01_52 has 31 (49.2%) missing valuesMissing
F01_53 has 31 (49.2%) missing valuesMissing
F01_54 has 31 (49.2%) missing valuesMissing
F01_55 has 31 (49.2%) missing valuesMissing
F01_56 has 31 (49.2%) missing valuesMissing
F01_57 has 31 (49.2%) missing valuesMissing
F01_58 has 31 (49.2%) missing valuesMissing
F01_59 has 31 (49.2%) missing valuesMissing
F01_60 has 31 (49.2%) missing valuesMissing
F01_61 has 31 (49.2%) missing valuesMissing
F01_62 has 31 (49.2%) missing valuesMissing
F01_63 has 31 (49.2%) missing valuesMissing
F01_64 has 31 (49.2%) missing valuesMissing
F01_65 has 31 (49.2%) missing valuesMissing
F01_66 has 31 (49.2%) missing valuesMissing
F01_67 has 31 (49.2%) missing valuesMissing
F01_68 has 31 (49.2%) missing valuesMissing
F01_69 has 31 (49.2%) missing valuesMissing
F01_70 has 31 (49.2%) missing valuesMissing
F01_71 has 31 (49.2%) missing valuesMissing
F01_72 has 31 (49.2%) missing valuesMissing
F01_73 has 31 (49.2%) missing valuesMissing
userid has unique valuesUnique
D06_other is an unsupported type, check if it needs cleaning or further analysisUnsupported
userid has 1 (1.6%) zerosZeros

Reproduction

Analysis started2024-09-10 07:19:51.310092
Analysis finished2024-09-10 07:20:07.554618
Duration16.24 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

userid
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.65079365
Minimum0
Maximum98
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-09-10T09:20:07.656743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.3
Q123.5
median49
Q375
95-th percentile91.8
Maximum98
Range98
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation29.2570139
Coefficient of variation (CV)0.6013676593
Kurtosis-1.233120926
Mean48.65079365
Median Absolute Deviation (MAD)28
Skewness-0.004509709733
Sum3065
Variance855.9728623
MonotonicityStrictly increasing
2024-09-10T09:20:07.780061image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
1.6%
1 1
 
1.6%
3 1
 
1.6%
4 1
 
1.6%
7 1
 
1.6%
8 1
 
1.6%
9 1
 
1.6%
10 1
 
1.6%
11 1
 
1.6%
12 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
0 1
1.6%
1 1
1.6%
3 1
1.6%
4 1
1.6%
7 1
1.6%
ValueCountFrequency (%)
98 1
1.6%
94 1
1.6%
93 1
1.6%
92 1
1.6%
90 1
1.6%

experimentid
Text

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-09-10T09:20:07.859335image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters504
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmak_2024
2nd rowmak_2024
3rd rowmak_2024
4th rowmak_2024
5th rowmak_2024
ValueCountFrequency (%)
mak_2024 63
100.0%
2024-09-10T09:20:08.034876image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 126
25.0%
m 63
12.5%
a 63
12.5%
k 63
12.5%
_ 63
12.5%
0 63
12.5%
4 63
12.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 504
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 126
25.0%
m 63
12.5%
a 63
12.5%
k 63
12.5%
_ 63
12.5%
0 63
12.5%
4 63
12.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 504
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 126
25.0%
m 63
12.5%
a 63
12.5%
k 63
12.5%
_ 63
12.5%
0 63
12.5%
4 63
12.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 504
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 126
25.0%
m 63
12.5%
a 63
12.5%
k 63
12.5%
_ 63
12.5%
0 63
12.5%
4 63
12.5%
Distinct28
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2024-03-17 11:37:01.062480+03:00
Maximum2024-04-03 07:44:26.216842+03:00
2024-09-10T09:20:08.141485image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-09-10T09:20:08.244177image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

E01_03
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.235294118
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:08.349780image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.478304179
Coefficient of variation (CV)0.4569303824
Kurtosis-1.313226011
Mean3.235294118
Median Absolute Deviation (MAD)1
Skewness-0.1928381274
Sum110
Variance2.185383244
MonotonicityNot monotonic
2024-09-10T09:20:08.441401image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 10
 
15.9%
3 8
 
12.7%
1 6
 
9.5%
4 5
 
7.9%
2 5
 
7.9%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 6
9.5%
2 5
7.9%
3 8
12.7%
4 5
7.9%
5 10
15.9%
ValueCountFrequency (%)
5 10
15.9%
4 5
7.9%
3 8
12.7%
2 5
7.9%
1 6
9.5%

E01_04
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean2.382352941
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:08.533014image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.75
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.633266032
Coefficient of variation (CV)0.685568458
Kurtosis-1.057405015
Mean2.382352941
Median Absolute Deviation (MAD)1
Skewness0.7990401315
Sum81
Variance2.667557932
MonotonicityNot monotonic
2024-09-10T09:20:08.633157image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 15
23.8%
5 8
 
12.7%
2 8
 
12.7%
3 2
 
3.2%
4 1
 
1.6%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 15
23.8%
2 8
12.7%
3 2
 
3.2%
4 1
 
1.6%
5 8
12.7%
ValueCountFrequency (%)
5 8
12.7%
4 1
 
1.6%
3 2
 
3.2%
2 8
12.7%
1 15
23.8%

E01_05
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.117647059
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:08.728637image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.451534316
Coefficient of variation (CV)0.4655864788
Kurtosis-1.480047445
Mean3.117647059
Median Absolute Deviation (MAD)1
Skewness-0.02732099404
Sum106
Variance2.106951872
MonotonicityNot monotonic
2024-09-10T09:20:08.943093image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 10
 
15.9%
4 8
 
12.7%
5 8
 
12.7%
1 5
 
7.9%
3 3
 
4.8%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 5
7.9%
2 10
15.9%
3 3
 
4.8%
4 8
12.7%
5 8
12.7%
ValueCountFrequency (%)
5 8
12.7%
4 8
12.7%
3 3
 
4.8%
2 10
15.9%
1 5
7.9%

E01_06
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.852941176
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:09.035833image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.328757746
Coefficient of variation (CV)0.3448684227
Kurtosis-0.2296866107
Mean3.852941176
Median Absolute Deviation (MAD)1
Skewness-0.9495134843
Sum131
Variance1.765597148
MonotonicityNot monotonic
2024-09-10T09:20:09.131160image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 15
23.8%
4 8
 
12.7%
3 5
 
7.9%
2 3
 
4.8%
1 3
 
4.8%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 3
 
4.8%
2 3
 
4.8%
3 5
 
7.9%
4 8
12.7%
5 15
23.8%
ValueCountFrequency (%)
5 15
23.8%
4 8
12.7%
3 5
 
7.9%
2 3
 
4.8%
1 3
 
4.8%

E01_07
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.470588235
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:09.224377image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.580856962
Coefficient of variation (CV)0.4555011586
Kurtosis-1.14394931
Mean3.470588235
Median Absolute Deviation (MAD)1
Skewness-0.6517438719
Sum118
Variance2.499108734
MonotonicityNot monotonic
2024-09-10T09:20:09.319180image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 12
19.0%
4 9
 
14.3%
1 8
 
12.7%
3 4
 
6.3%
2 1
 
1.6%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 8
12.7%
2 1
 
1.6%
3 4
 
6.3%
4 9
14.3%
5 12
19.0%
ValueCountFrequency (%)
5 12
19.0%
4 9
14.3%
3 4
 
6.3%
2 1
 
1.6%
1 8
12.7%

E01_08
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.823529412
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:09.410973image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.290303893
Coefficient of variation (CV)0.337464095
Kurtosis-0.006840568862
Mean3.823529412
Median Absolute Deviation (MAD)1
Skewness-1.000088093
Sum130
Variance1.664884135
MonotonicityNot monotonic
2024-09-10T09:20:09.504776image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 13
20.6%
4 11
 
17.5%
3 4
 
6.3%
1 3
 
4.8%
2 3
 
4.8%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 3
 
4.8%
2 3
 
4.8%
3 4
 
6.3%
4 11
17.5%
5 13
20.6%
ValueCountFrequency (%)
5 13
20.6%
4 11
17.5%
3 4
 
6.3%
2 3
 
4.8%
1 3
 
4.8%

E01_09
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.764705882
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:09.597395image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.280597009
Coefficient of variation (CV)0.3401585804
Kurtosis-0.1297017444
Mean3.764705882
Median Absolute Deviation (MAD)1
Skewness-0.9100077955
Sum128
Variance1.639928699
MonotonicityNot monotonic
2024-09-10T09:20:09.690013image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 12
19.0%
4 11
 
17.5%
3 5
 
7.9%
1 3
 
4.8%
2 3
 
4.8%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 3
 
4.8%
2 3
 
4.8%
3 5
7.9%
4 11
17.5%
5 12
19.0%
ValueCountFrequency (%)
5 12
19.0%
4 11
17.5%
3 5
7.9%
2 3
 
4.8%
1 3
 
4.8%

E01_10
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.558823529
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:09.781980image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34.75
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.25989842
Coefficient of variation (CV)0.3540210436
Kurtosis-0.5211073559
Mean3.558823529
Median Absolute Deviation (MAD)1
Skewness-0.6238638297
Sum121
Variance1.587344029
MonotonicityNot monotonic
2024-09-10T09:20:09.874189image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 11
 
17.5%
5 9
 
14.3%
3 7
 
11.1%
2 4
 
6.3%
1 3
 
4.8%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 3
 
4.8%
2 4
 
6.3%
3 7
11.1%
4 11
17.5%
5 9
14.3%
ValueCountFrequency (%)
5 9
14.3%
4 11
17.5%
3 7
11.1%
2 4
 
6.3%
1 3
 
4.8%

E01_11
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.2%
Missing30
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean3.303030303
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:09.971826image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.334279967
Coefficient of variation (CV)0.4039563203
Kurtosis-0.8105087983
Mean3.303030303
Median Absolute Deviation (MAD)1
Skewness-0.4300567157
Sum109
Variance1.78030303
MonotonicityNot monotonic
2024-09-10T09:20:10.073051image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 9
 
14.3%
4 9
 
14.3%
5 7
 
11.1%
1 5
 
7.9%
2 3
 
4.8%
(Missing) 30
47.6%
ValueCountFrequency (%)
1 5
7.9%
2 3
 
4.8%
3 9
14.3%
4 9
14.3%
5 7
11.1%
ValueCountFrequency (%)
5 7
11.1%
4 9
14.3%
3 9
14.3%
2 3
 
4.8%
1 5
7.9%

E01_12
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.176470588
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:10.164649image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.086294459
Coefficient of variation (CV)0.3419815888
Kurtosis-0.08486914861
Mean3.176470588
Median Absolute Deviation (MAD)1
Skewness-0.2211014399
Sum108
Variance1.180035651
MonotonicityNot monotonic
2024-09-10T09:20:10.260921image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 15
23.8%
4 8
 
12.7%
5 4
 
6.3%
2 4
 
6.3%
1 3
 
4.8%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 3
 
4.8%
2 4
 
6.3%
3 15
23.8%
4 8
12.7%
5 4
 
6.3%
ValueCountFrequency (%)
5 4
 
6.3%
4 8
12.7%
3 15
23.8%
2 4
 
6.3%
1 3
 
4.8%

E01_13
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.411764706
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:10.353847image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.157783856
Coefficient of variation (CV)0.3393504407
Kurtosis-0.5504676559
Mean3.411764706
Median Absolute Deviation (MAD)1
Skewness-0.1455803093
Sum116
Variance1.340463458
MonotonicityNot monotonic
2024-09-10T09:20:10.449074image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 14
22.2%
5 8
 
12.7%
4 6
 
9.5%
2 4
 
6.3%
1 2
 
3.2%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 2
 
3.2%
2 4
 
6.3%
3 14
22.2%
4 6
9.5%
5 8
12.7%
ValueCountFrequency (%)
5 8
12.7%
4 6
9.5%
3 14
22.2%
2 4
 
6.3%
1 2
 
3.2%

E01_14
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)11.8%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean4.264705882
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:10.542263image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.188552048
Coefficient of variation (CV)0.278694963
Kurtosis3.115074897
Mean4.264705882
Median Absolute Deviation (MAD)0
Skewness-1.930084856
Sum145
Variance1.412655971
MonotonicityNot monotonic
2024-09-10T09:20:10.635980image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 20
31.7%
4 9
 
14.3%
1 3
 
4.8%
3 2
 
3.2%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 3
 
4.8%
3 2
 
3.2%
4 9
14.3%
5 20
31.7%
ValueCountFrequency (%)
5 20
31.7%
4 9
14.3%
3 2
 
3.2%
1 3
 
4.8%

E01_15
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean4
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:10.727286image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9534625892
Coefficient of variation (CV)0.2383656473
Kurtosis1.720967742
Mean4
Median Absolute Deviation (MAD)1
Skewness-1.114359401
Sum136
Variance0.9090909091
MonotonicityNot monotonic
2024-09-10T09:20:10.822055image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 15
23.8%
5 11
 
17.5%
3 6
 
9.5%
1 1
 
1.6%
2 1
 
1.6%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
3 6
 
9.5%
4 15
23.8%
5 11
17.5%
ValueCountFrequency (%)
5 11
17.5%
4 15
23.8%
3 6
 
9.5%
2 1
 
1.6%
1 1
 
1.6%

E01_16
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.411764706
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:10.914253image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median3.5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.499851448
Coefficient of variation (CV)0.4396116314
Kurtosis-1.19509154
Mean3.411764706
Median Absolute Deviation (MAD)1.5
Skewness-0.4206042533
Sum116
Variance2.249554367
MonotonicityNot monotonic
2024-09-10T09:20:11.007825image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 12
19.0%
3 8
 
12.7%
1 6
 
9.5%
4 5
 
7.9%
2 3
 
4.8%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 6
9.5%
2 3
 
4.8%
3 8
12.7%
4 5
7.9%
5 12
19.0%
ValueCountFrequency (%)
5 12
19.0%
4 5
7.9%
3 8
12.7%
2 3
 
4.8%
1 6
9.5%

E01_17
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)11.8%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean4.235294118
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:11.094967image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8548905133
Coefficient of variation (CV)0.201849149
Kurtosis-0.2687333289
Mean4.235294118
Median Absolute Deviation (MAD)1
Skewness-0.7970639848
Sum144
Variance0.7308377897
MonotonicityNot monotonic
2024-09-10T09:20:11.180166image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 16
25.4%
4 11
 
17.5%
3 6
 
9.5%
2 1
 
1.6%
(Missing) 29
46.0%
ValueCountFrequency (%)
2 1
 
1.6%
3 6
 
9.5%
4 11
17.5%
5 16
25.4%
ValueCountFrequency (%)
5 16
25.4%
4 11
17.5%
3 6
 
9.5%
2 1
 
1.6%

E01_18
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:11.274919image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.370688834
Coefficient of variation (CV)0.4568962779
Kurtosis-1.171895455
Mean3
Median Absolute Deviation (MAD)1
Skewness0.1500305221
Sum102
Variance1.878787879
MonotonicityNot monotonic
2024-09-10T09:20:11.366328image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 9
 
14.3%
3 8
 
12.7%
5 7
 
11.1%
4 5
 
7.9%
1 5
 
7.9%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 5
7.9%
2 9
14.3%
3 8
12.7%
4 5
7.9%
5 7
11.1%
ValueCountFrequency (%)
5 7
11.1%
4 5
7.9%
3 8
12.7%
2 9
14.3%
1 5
7.9%

E01_19
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.235294118
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:11.456782image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.304045536
Coefficient of variation (CV)0.4030686201
Kurtosis-0.8323405407
Mean3.235294118
Median Absolute Deviation (MAD)1
Skewness-0.3782978405
Sum110
Variance1.700534759
MonotonicityNot monotonic
2024-09-10T09:20:11.556760image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 10
 
15.9%
3 9
 
14.3%
5 6
 
9.5%
1 5
 
7.9%
2 4
 
6.3%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 5
7.9%
2 4
 
6.3%
3 9
14.3%
4 10
15.9%
5 6
9.5%
ValueCountFrequency (%)
5 6
9.5%
4 10
15.9%
3 9
14.3%
2 4
 
6.3%
1 5
7.9%

E01_20
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.382352941
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:11.647952image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.456744105
Coefficient of variation (CV)0.4306895614
Kurtosis-1.252368785
Mean3.382352941
Median Absolute Deviation (MAD)1
Skewness-0.4085690784
Sum115
Variance2.122103387
MonotonicityNot monotonic
2024-09-10T09:20:11.740791image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 10
 
15.9%
4 9
 
14.3%
2 6
 
9.5%
1 5
 
7.9%
3 4
 
6.3%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 5
7.9%
2 6
9.5%
3 4
 
6.3%
4 9
14.3%
5 10
15.9%
ValueCountFrequency (%)
5 10
15.9%
4 9
14.3%
3 4
 
6.3%
2 6
9.5%
1 5
7.9%

E01_21
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean2.882352941
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:11.831040image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33.75
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.249598866
Coefficient of variation (CV)0.4335343005
Kurtosis-0.6930297891
Mean2.882352941
Median Absolute Deviation (MAD)1
Skewness0.2350069222
Sum98
Variance1.561497326
MonotonicityNot monotonic
2024-09-10T09:20:11.925105image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 12
19.0%
2 8
 
12.7%
5 5
 
7.9%
1 5
 
7.9%
4 4
 
6.3%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 5
7.9%
2 8
12.7%
3 12
19.0%
4 4
 
6.3%
5 5
7.9%
ValueCountFrequency (%)
5 5
7.9%
4 4
 
6.3%
3 12
19.0%
2 8
12.7%
1 5
7.9%

E01_22
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.235294118
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:12.016431image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34.75
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.415473441
Coefficient of variation (CV)0.4375099727
Kurtosis-1.22725289
Mean3.235294118
Median Absolute Deviation (MAD)1
Skewness-0.1715910417
Sum110
Variance2.003565062
MonotonicityNot monotonic
2024-09-10T09:20:12.112909image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 9
 
14.3%
3 8
 
12.7%
4 6
 
9.5%
2 6
 
9.5%
1 5
 
7.9%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 5
7.9%
2 6
9.5%
3 8
12.7%
4 6
9.5%
5 9
14.3%
ValueCountFrequency (%)
5 9
14.3%
4 6
9.5%
3 8
12.7%
2 6
9.5%
1 5
7.9%

E01_23
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.117647059
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:12.206000image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.20011883
Coefficient of variation (CV)0.3849437755
Kurtosis-0.9931807291
Mean3.117647059
Median Absolute Deviation (MAD)1
Skewness-0.1272305941
Sum106
Variance1.440285205
MonotonicityNot monotonic
2024-09-10T09:20:12.298825image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 11
 
17.5%
2 9
 
14.3%
3 7
 
11.1%
5 4
 
6.3%
1 3
 
4.8%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 3
 
4.8%
2 9
14.3%
3 7
11.1%
4 11
17.5%
5 4
 
6.3%
ValueCountFrequency (%)
5 4
 
6.3%
4 11
17.5%
3 7
11.1%
2 9
14.3%
1 3
 
4.8%

E01_24
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.676470588
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:12.390886image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.248528546
Coefficient of variation (CV)0.3395997644
Kurtosis-0.6417490283
Mean3.676470588
Median Absolute Deviation (MAD)1
Skewness-0.6273250851
Sum125
Variance1.558823529
MonotonicityNot monotonic
2024-09-10T09:20:12.482212image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 11
 
17.5%
4 10
 
15.9%
3 6
 
9.5%
2 5
 
7.9%
1 2
 
3.2%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 2
 
3.2%
2 5
7.9%
3 6
9.5%
4 10
15.9%
5 11
17.5%
ValueCountFrequency (%)
5 11
17.5%
4 10
15.9%
3 6
9.5%
2 5
7.9%
1 2
 
3.2%

E01_25
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.088235294
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:12.575020image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.311202249
Coefficient of variation (CV)0.4245797758
Kurtosis-1.148998757
Mean3.088235294
Median Absolute Deviation (MAD)1
Skewness-0.0005930473178
Sum105
Variance1.719251337
MonotonicityNot monotonic
2024-09-10T09:20:12.664819image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 9
 
14.3%
4 8
 
12.7%
3 7
 
11.1%
5 6
 
9.5%
1 4
 
6.3%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 4
6.3%
2 9
14.3%
3 7
11.1%
4 8
12.7%
5 6
9.5%
ValueCountFrequency (%)
5 6
9.5%
4 8
12.7%
3 7
11.1%
2 9
14.3%
1 4
6.3%

E01_26
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.823529412
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:12.755975image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q13.25
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.24244598
Coefficient of variation (CV)0.3249474103
Kurtosis-0.1458926881
Mean3.823529412
Median Absolute Deviation (MAD)1
Skewness-0.9542656786
Sum130
Variance1.543672014
MonotonicityNot monotonic
2024-09-10T09:20:12.848461image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 13
20.6%
5 12
19.0%
2 5
 
7.9%
3 2
 
3.2%
1 2
 
3.2%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 2
 
3.2%
2 5
 
7.9%
3 2
 
3.2%
4 13
20.6%
5 12
19.0%
ValueCountFrequency (%)
5 12
19.0%
4 13
20.6%
3 2
 
3.2%
2 5
 
7.9%
1 2
 
3.2%

E01_27
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)8.8%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean4.264705882
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:12.939609image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q14
median4.5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8278787618
Coefficient of variation (CV)0.1941232959
Kurtosis-1.321573946
Mean4.264705882
Median Absolute Deviation (MAD)0.5
Skewness-0.5442646875
Sum145
Variance0.6853832442
MonotonicityNot monotonic
2024-09-10T09:20:13.033775image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5 17
27.0%
4 9
 
14.3%
3 8
 
12.7%
(Missing) 29
46.0%
ValueCountFrequency (%)
3 8
12.7%
4 9
14.3%
5 17
27.0%
ValueCountFrequency (%)
5 17
27.0%
4 9
14.3%
3 8
12.7%

E01_28
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean4.088235294
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:13.126997image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13.25
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.083419029
Coefficient of variation (CV)0.265008971
Kurtosis0.6236462337
Mean4.088235294
Median Absolute Deviation (MAD)1
Skewness-1.095672922
Sum139
Variance1.173796791
MonotonicityNot monotonic
2024-09-10T09:20:13.221838image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 16
25.4%
4 9
 
14.3%
3 6
 
9.5%
2 2
 
3.2%
1 1
 
1.6%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 1
 
1.6%
2 2
 
3.2%
3 6
 
9.5%
4 9
14.3%
5 16
25.4%
ValueCountFrequency (%)
5 16
25.4%
4 9
14.3%
3 6
 
9.5%
2 2
 
3.2%
1 1
 
1.6%

E01_29
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)11.8%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean4.294117647
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:13.310379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median4.5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8359140076
Coefficient of variation (CV)0.1946649059
Kurtosis0.1333433503
Mean4.294117647
Median Absolute Deviation (MAD)0.5
Skewness-0.948720158
Sum146
Variance0.6987522282
MonotonicityNot monotonic
2024-09-10T09:20:13.540878image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 17
27.0%
4 11
 
17.5%
3 5
 
7.9%
2 1
 
1.6%
(Missing) 29
46.0%
ValueCountFrequency (%)
2 1
 
1.6%
3 5
 
7.9%
4 11
17.5%
5 17
27.0%
ValueCountFrequency (%)
5 17
27.0%
4 11
17.5%
3 5
 
7.9%
2 1
 
1.6%

E01_30
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.382352941
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:13.629583image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3.5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.497770179
Coefficient of variation (CV)0.4428190093
Kurtosis-1.371939992
Mean3.382352941
Median Absolute Deviation (MAD)1.5
Skewness-0.3048831001
Sum115
Variance2.243315508
MonotonicityNot monotonic
2024-09-10T09:20:13.721514image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 12
19.0%
3 6
 
9.5%
2 6
 
9.5%
4 5
 
7.9%
1 5
 
7.9%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 5
7.9%
2 6
9.5%
3 6
9.5%
4 5
7.9%
5 12
19.0%
ValueCountFrequency (%)
5 12
19.0%
4 5
7.9%
3 6
9.5%
2 6
9.5%
1 5
7.9%

E01_31
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean4.441176471
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:13.813994image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9905975078
Coefficient of variation (CV)0.2230484455
Kurtosis3.922877889
Mean4.441176471
Median Absolute Deviation (MAD)0
Skewness-2.013138327
Sum151
Variance0.9812834225
MonotonicityNot monotonic
2024-09-10T09:20:13.904271image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 23
36.5%
4 6
 
9.5%
3 3
 
4.8%
2 1
 
1.6%
1 1
 
1.6%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
3 3
 
4.8%
4 6
 
9.5%
5 23
36.5%
ValueCountFrequency (%)
5 23
36.5%
4 6
 
9.5%
3 3
 
4.8%
2 1
 
1.6%
1 1
 
1.6%

E01_32
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean4.176470588
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:13.995852image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4.5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.058030997
Coefficient of variation (CV)0.2533313654
Kurtosis1.411217915
Mean4.176470588
Median Absolute Deviation (MAD)0.5
Skewness-1.352259517
Sum142
Variance1.11942959
MonotonicityNot monotonic
2024-09-10T09:20:14.089350image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 17
27.0%
4 10
 
15.9%
3 4
 
6.3%
2 2
 
3.2%
1 1
 
1.6%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 1
 
1.6%
2 2
 
3.2%
3 4
 
6.3%
4 10
15.9%
5 17
27.0%
ValueCountFrequency (%)
5 17
27.0%
4 10
15.9%
3 4
 
6.3%
2 2
 
3.2%
1 1
 
1.6%

E01_33
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:14.183221image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q13
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.285112894
Coefficient of variation (CV)0.3671751127
Kurtosis-1.092605162
Mean3.5
Median Absolute Deviation (MAD)1
Skewness-0.2275529208
Sum119
Variance1.651515152
MonotonicityNot monotonic
2024-09-10T09:20:14.274676image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 11
 
17.5%
3 10
 
15.9%
2 6
 
9.5%
4 5
 
7.9%
1 2
 
3.2%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 2
 
3.2%
2 6
9.5%
3 10
15.9%
4 5
7.9%
5 11
17.5%
ValueCountFrequency (%)
5 11
17.5%
4 5
7.9%
3 10
15.9%
2 6
9.5%
1 2
 
3.2%

E01_34
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.735294118
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:14.366105image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.213780059
Coefficient of variation (CV)0.3249489922
Kurtosis-0.9949517252
Mean3.735294118
Median Absolute Deviation (MAD)1
Skewness-0.4278230785
Sum127
Variance1.473262032
MonotonicityNot monotonic
2024-09-10T09:20:14.458011image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 13
20.6%
3 9
 
14.3%
4 6
 
9.5%
2 5
 
7.9%
1 1
 
1.6%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 1
 
1.6%
2 5
 
7.9%
3 9
14.3%
4 6
9.5%
5 13
20.6%
ValueCountFrequency (%)
5 13
20.6%
4 6
9.5%
3 9
14.3%
2 5
 
7.9%
1 1
 
1.6%

E01_35
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean4.058823529
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:14.549706image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.071424327
Coefficient of variation (CV)0.2639741096
Kurtosis0.2755078707
Mean4.058823529
Median Absolute Deviation (MAD)1
Skewness-0.9081557713
Sum138
Variance1.147950089
MonotonicityNot monotonic
2024-09-10T09:20:14.643370image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 16
25.4%
3 9
 
14.3%
4 7
 
11.1%
1 1
 
1.6%
2 1
 
1.6%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
3 9
14.3%
4 7
11.1%
5 16
25.4%
ValueCountFrequency (%)
5 16
25.4%
4 7
11.1%
3 9
14.3%
2 1
 
1.6%
1 1
 
1.6%

E01_36
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.911764706
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:14.734360image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.190050853
Coefficient of variation (CV)0.3042235265
Kurtosis0.06093249088
Mean3.911764706
Median Absolute Deviation (MAD)1
Skewness-0.8521326464
Sum133
Variance1.416221034
MonotonicityNot monotonic
2024-09-10T09:20:14.828662image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 15
23.8%
3 10
 
15.9%
4 6
 
9.5%
1 2
 
3.2%
2 1
 
1.6%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 2
 
3.2%
2 1
 
1.6%
3 10
15.9%
4 6
 
9.5%
5 15
23.8%
ValueCountFrequency (%)
5 15
23.8%
4 6
 
9.5%
3 10
15.9%
2 1
 
1.6%
1 2
 
3.2%

E01_37
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean3.617647059
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:14.924677image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.279552618
Coefficient of variation (CV)0.3536974716
Kurtosis-0.5398970615
Mean3.617647059
Median Absolute Deviation (MAD)1
Skewness-0.6012984705
Sum123
Variance1.637254902
MonotonicityNot monotonic
2024-09-10T09:20:15.016540image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 11
 
17.5%
3 9
 
14.3%
4 8
 
12.7%
2 3
 
4.8%
1 3
 
4.8%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 3
 
4.8%
2 3
 
4.8%
3 9
14.3%
4 8
12.7%
5 11
17.5%
ValueCountFrequency (%)
5 11
17.5%
4 8
12.7%
3 9
14.3%
2 3
 
4.8%
1 3
 
4.8%

Y04
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)20.0%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:15.104672image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile7.3
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.970368732
Coefficient of variation (CV)0.6567895774
Kurtosis0.7671393689
Mean3
Median Absolute Deviation (MAD)1
Skewness1.076555919
Sum105
Variance3.882352941
MonotonicityNot monotonic
2024-09-10T09:20:15.193735image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 10
 
15.9%
3 8
 
12.7%
2 6
 
9.5%
5 4
 
6.3%
4 4
 
6.3%
8 2
 
3.2%
7 1
 
1.6%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 10
15.9%
2 6
9.5%
3 8
12.7%
4 4
 
6.3%
5 4
 
6.3%
ValueCountFrequency (%)
8 2
 
3.2%
7 1
 
1.6%
5 4
6.3%
4 4
6.3%
3 8
12.7%

G01_05
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.857142857
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:15.283190image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3550358012
Coefficient of variation (CV)0.1911731237
Kurtosis2.704545455
Mean1.857142857
Median Absolute Deviation (MAD)0
Skewness-2.133801028
Sum65
Variance0.1260504202
MonotonicityNot monotonic
2024-09-10T09:20:15.369100image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 30
47.6%
1 5
 
7.9%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 5
 
7.9%
2 30
47.6%
ValueCountFrequency (%)
2 30
47.6%
1 5
 
7.9%

G01_06
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.685714286
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:15.453933image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.471008216
Coefficient of variation (CV)0.2794116535
Kurtosis-1.383006198
Mean1.685714286
Median Absolute Deviation (MAD)0
Skewness-0.836374782
Sum59
Variance0.2218487395
MonotonicityNot monotonic
2024-09-10T09:20:15.538931image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 24
38.1%
1 11
 
17.5%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 11
17.5%
2 24
38.1%
ValueCountFrequency (%)
2 24
38.1%
1 11
17.5%

G01_07
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.8
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:15.623874image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.405839725
Coefficient of variation (CV)0.2254665139
Kurtosis0.4829545455
Mean1.8
Median Absolute Deviation (MAD)0
Skewness-1.568017119
Sum63
Variance0.1647058824
MonotonicityNot monotonic
2024-09-10T09:20:15.708006image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 28
44.4%
1 7
 
11.1%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 7
 
11.1%
2 28
44.4%
ValueCountFrequency (%)
2 28
44.4%
1 7
 
11.1%

G01_08
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.942857143
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:15.789855image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.235504108
Coefficient of variation (CV)0.1212153497
Kurtosis14.75206612
Mean1.942857143
Median Absolute Deviation (MAD)0
Skewness-3.988864345
Sum68
Variance0.05546218487
MonotonicityNot monotonic
2024-09-10T09:20:15.878550image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 33
52.4%
1 2
 
3.2%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 2
 
3.2%
2 33
52.4%
ValueCountFrequency (%)
2 33
52.4%
1 2
 
3.2%

G01_09
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.885714286
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:15.962983image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3228028511
Coefficient of variation (CV)0.1711833301
Kurtosis4.689332845
Mean1.885714286
Median Absolute Deviation (MAD)0
Skewness-2.534617694
Sum66
Variance0.1042016807
MonotonicityNot monotonic
2024-09-10T09:20:16.051272image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 31
49.2%
1 4
 
6.3%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 4
 
6.3%
2 31
49.2%
ValueCountFrequency (%)
2 31
49.2%
1 4
 
6.3%

G01_10
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.742857143
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:16.136186image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.4434395736
Coefficient of variation (CV)0.2544325422
Kurtosis-0.6934731935
Mean1.742857143
Median Absolute Deviation (MAD)0
Skewness-1.161717505
Sum61
Variance0.1966386555
MonotonicityNot monotonic
2024-09-10T09:20:16.221918image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 26
41.3%
1 9
 
14.3%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 9
 
14.3%
2 26
41.3%
ValueCountFrequency (%)
2 26
41.3%
1 9
 
14.3%

G01_11
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.942857143
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:16.313300image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.235504108
Coefficient of variation (CV)0.1212153497
Kurtosis14.75206612
Mean1.942857143
Median Absolute Deviation (MAD)0
Skewness-3.988864345
Sum68
Variance0.05546218487
MonotonicityNot monotonic
2024-09-10T09:20:16.401564image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 33
52.4%
1 2
 
3.2%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 2
 
3.2%
2 33
52.4%
ValueCountFrequency (%)
2 33
52.4%
1 2
 
3.2%

G02_13
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)17.1%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean3.028571429
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:16.488839image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34.5
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation1.854814313
Coefficient of variation (CV)0.6124386881
Kurtosis-1.361151133
Mean3.028571429
Median Absolute Deviation (MAD)2
Skewness0.3371734531
Sum106
Variance3.440336134
MonotonicityNot monotonic
2024-09-10T09:20:16.583469image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 11
 
17.5%
2 6
 
9.5%
4 6
 
9.5%
6 5
 
7.9%
5 4
 
6.3%
3 3
 
4.8%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 11
17.5%
2 6
9.5%
3 3
 
4.8%
4 6
9.5%
5 4
 
6.3%
ValueCountFrequency (%)
6 5
7.9%
5 4
6.3%
4 6
9.5%
3 3
4.8%
2 6
9.5%

G02_14
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)17.1%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean2.514285714
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:16.667596image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.704171846
Coefficient of variation (CV)0.6777956206
Kurtosis-0.6699899658
Mean2.514285714
Median Absolute Deviation (MAD)1
Skewness0.7493617787
Sum88
Variance2.904201681
MonotonicityNot monotonic
2024-09-10T09:20:16.757135image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 16
25.4%
3 6
 
9.5%
4 5
 
7.9%
6 3
 
4.8%
2 3
 
4.8%
5 2
 
3.2%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 16
25.4%
2 3
 
4.8%
3 6
 
9.5%
4 5
 
7.9%
5 2
 
3.2%
ValueCountFrequency (%)
6 3
4.8%
5 2
 
3.2%
4 5
7.9%
3 6
9.5%
2 3
4.8%

G02_15
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)17.1%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:16.849529image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34.5
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.040761104
Coefficient of variation (CV)0.7288432513
Kurtosis-1.344253545
Mean2.8
Median Absolute Deviation (MAD)1
Skewness0.5954655222
Sum98
Variance4.164705882
MonotonicityNot monotonic
2024-09-10T09:20:16.939433image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 16
25.4%
6 7
 
11.1%
4 4
 
6.3%
2 4
 
6.3%
3 2
 
3.2%
5 2
 
3.2%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 16
25.4%
2 4
 
6.3%
3 2
 
3.2%
4 4
 
6.3%
5 2
 
3.2%
ValueCountFrequency (%)
6 7
11.1%
5 2
 
3.2%
4 4
6.3%
3 2
 
3.2%
2 4
6.3%

G02_16
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)17.1%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean3.857142857
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:17.025528image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.94244929
Coefficient of variation (CV)0.503597964
Kurtosis-1.463720644
Mean3.857142857
Median Absolute Deviation (MAD)2
Skewness-0.3486642392
Sum135
Variance3.773109244
MonotonicityNot monotonic
2024-09-10T09:20:17.114278image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 10
 
15.9%
1 7
 
11.1%
5 7
 
11.1%
2 4
 
6.3%
4 4
 
6.3%
3 3
 
4.8%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 7
11.1%
2 4
6.3%
3 3
4.8%
4 4
6.3%
5 7
11.1%
ValueCountFrequency (%)
6 10
15.9%
5 7
11.1%
4 4
 
6.3%
3 3
 
4.8%
2 4
 
6.3%

G02_17
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)17.1%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean2.914285714
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:17.198054image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34.5
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation1.820979513
Coefficient of variation (CV)0.6248459113
Kurtosis-1.13376491
Mean2.914285714
Median Absolute Deviation (MAD)1
Skewness0.5683348109
Sum102
Variance3.315966387
MonotonicityNot monotonic
2024-09-10T09:20:17.286262image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 10
 
15.9%
2 9
 
14.3%
6 5
 
7.9%
3 4
 
6.3%
5 4
 
6.3%
4 3
 
4.8%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 10
15.9%
2 9
14.3%
3 4
 
6.3%
4 3
 
4.8%
5 4
 
6.3%
ValueCountFrequency (%)
6 5
7.9%
5 4
6.3%
4 3
 
4.8%
3 4
6.3%
2 9
14.3%

G02_18
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)17.1%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean3.342857143
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:17.370580image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation1.814044184
Coefficient of variation (CV)0.5426627902
Kurtosis-1.302205222
Mean3.342857143
Median Absolute Deviation (MAD)2
Skewness0.04967893785
Sum117
Variance3.290756303
MonotonicityNot monotonic
2024-09-10T09:20:17.456273image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 9
 
14.3%
4 7
 
11.1%
3 6
 
9.5%
6 6
 
9.5%
5 4
 
6.3%
2 3
 
4.8%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 9
14.3%
2 3
 
4.8%
3 6
9.5%
4 7
11.1%
5 4
6.3%
ValueCountFrequency (%)
6 6
9.5%
5 4
6.3%
4 7
11.1%
3 6
9.5%
2 3
4.8%

G02_19
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)17.1%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean4.257142857
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:17.540212image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q13
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.596740377
Coefficient of variation (CV)0.3750732429
Kurtosis-0.9495687674
Mean4.257142857
Median Absolute Deviation (MAD)1
Skewness-0.4020295636
Sum149
Variance2.549579832
MonotonicityNot monotonic
2024-09-10T09:20:17.627947image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 12
19.0%
3 7
 
11.1%
4 7
 
11.1%
5 4
 
6.3%
2 3
 
4.8%
1 2
 
3.2%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 2
 
3.2%
2 3
4.8%
3 7
11.1%
4 7
11.1%
5 4
6.3%
ValueCountFrequency (%)
6 12
19.0%
5 4
 
6.3%
4 7
11.1%
3 7
11.1%
2 3
 
4.8%

G02_20
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)17.1%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean3.914285714
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:17.711648image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.915439261
Coefficient of variation (CV)0.4893457966
Kurtosis-1.40552978
Mean3.914285714
Median Absolute Deviation (MAD)2
Skewness-0.2969642016
Sum137
Variance3.668907563
MonotonicityNot monotonic
2024-09-10T09:20:17.798791image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 12
19.0%
4 6
 
9.5%
1 6
 
9.5%
3 4
 
6.3%
2 4
 
6.3%
5 3
 
4.8%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 6
9.5%
2 4
6.3%
3 4
6.3%
4 6
9.5%
5 3
4.8%
ValueCountFrequency (%)
6 12
19.0%
5 3
 
4.8%
4 6
9.5%
3 4
 
6.3%
2 4
 
6.3%

Y01_23
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.8
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:17.883228image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.405839725
Coefficient of variation (CV)0.2254665139
Kurtosis0.4829545455
Mean1.8
Median Absolute Deviation (MAD)0
Skewness-1.568017119
Sum63
Variance0.1647058824
MonotonicityNot monotonic
2024-09-10T09:20:17.969135image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 28
44.4%
1 7
 
11.1%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 7
 
11.1%
2 28
44.4%
ValueCountFrequency (%)
2 28
44.4%
1 7
 
11.1%

Y01_24
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.971428571
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:18.051593image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1690308509
Coefficient of variation (CV)0.08574028671
Kurtosis35
Mean1.971428571
Median Absolute Deviation (MAD)0
Skewness-5.916079783
Sum69
Variance0.02857142857
MonotonicityNot monotonic
2024-09-10T09:20:18.139631image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 34
54.0%
1 1
 
1.6%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 1
 
1.6%
2 34
54.0%
ValueCountFrequency (%)
2 34
54.0%
1 1
 
1.6%

Y01_25
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.857142857
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:18.384736image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3550358012
Coefficient of variation (CV)0.1911731237
Kurtosis2.704545455
Mean1.857142857
Median Absolute Deviation (MAD)0
Skewness-2.133801028
Sum65
Variance0.1260504202
MonotonicityNot monotonic
2024-09-10T09:20:18.471794image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 30
47.6%
1 5
 
7.9%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 5
 
7.9%
2 30
47.6%
ValueCountFrequency (%)
2 30
47.6%
1 5
 
7.9%

Y01_26
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.914285714
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:18.557781image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.284028641
Coefficient of variation (CV)0.1483731707
Kurtosis8.029119318
Mean1.914285714
Median Absolute Deviation (MAD)0
Skewness-3.09401149
Sum67
Variance0.08067226891
MonotonicityNot monotonic
2024-09-10T09:20:18.648906image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 32
50.8%
1 3
 
4.8%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 3
 
4.8%
2 32
50.8%
ValueCountFrequency (%)
2 32
50.8%
1 3
 
4.8%

Y01_27
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.971428571
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:18.735012image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1690308509
Coefficient of variation (CV)0.08574028671
Kurtosis35
Mean1.971428571
Median Absolute Deviation (MAD)0
Skewness-5.916079783
Sum69
Variance0.02857142857
MonotonicityNot monotonic
2024-09-10T09:20:18.823823image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 34
54.0%
1 1
 
1.6%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 1
 
1.6%
2 34
54.0%
ValueCountFrequency (%)
2 34
54.0%
1 1
 
1.6%

Y01_28
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.628571429
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:18.909831image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4902408943
Coefficient of variation (CV)0.3010251105
Kurtosis-1.796726001
Mean1.628571429
Median Absolute Deviation (MAD)0
Skewness-0.5563127758
Sum57
Variance0.2403361345
MonotonicityNot monotonic
2024-09-10T09:20:18.995481image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 22
34.9%
1 13
20.6%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 13
20.6%
2 22
34.9%
ValueCountFrequency (%)
2 22
34.9%
1 13
20.6%

Y01_29
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.657142857
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:19.077876image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.481593992
Coefficient of variation (CV)0.2906170641
Kurtosis-1.616847826
Mean1.657142857
Median Absolute Deviation (MAD)0
Skewness-0.6921459547
Sum58
Variance0.2319327731
MonotonicityNot monotonic
2024-09-10T09:20:19.163471image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 23
36.5%
1 12
19.0%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 12
19.0%
2 23
36.5%
ValueCountFrequency (%)
2 23
36.5%
1 12
19.0%

Y02
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)17.1%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean2.428571429
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:19.246356image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.018819024
Coefficient of variation (CV)0.8312784217
Kurtosis-0.8258794771
Mean2.428571429
Median Absolute Deviation (MAD)0
Skewness0.9632883168
Sum85
Variance4.075630252
MonotonicityNot monotonic
2024-09-10T09:20:19.333589image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 21
33.3%
6 6
 
9.5%
2 2
 
3.2%
5 2
 
3.2%
4 2
 
3.2%
3 2
 
3.2%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 21
33.3%
2 2
 
3.2%
3 2
 
3.2%
4 2
 
3.2%
5 2
 
3.2%
ValueCountFrequency (%)
6 6
9.5%
5 2
 
3.2%
4 2
 
3.2%
3 2
 
3.2%
2 2
 
3.2%

C01
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.228571429
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:19.422592image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4260429615
Coefficient of variation (CV)0.3467791547
Kurtosis-0.1878156566
Mean1.228571429
Median Absolute Deviation (MAD)0
Skewness1.351407318
Sum43
Variance0.181512605
MonotonicityNot monotonic
2024-09-10T09:20:19.509537image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 27
42.9%
2 8
 
12.7%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 27
42.9%
2 8
 
12.7%
ValueCountFrequency (%)
2 8
 
12.7%
1 27
42.9%

C04
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.3%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean2.2
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:19.592264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.106132638
Coefficient of variation (CV)0.5027875625
Kurtosis-0.08769625807
Mean2.2
Median Absolute Deviation (MAD)1
Skewness0.8242350472
Sum77
Variance1.223529412
MonotonicityNot monotonic
2024-09-10T09:20:19.688225image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 15
23.8%
1 10
 
15.9%
4 5
 
7.9%
3 4
 
6.3%
5 1
 
1.6%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 10
15.9%
2 15
23.8%
3 4
 
6.3%
4 5
 
7.9%
5 1
 
1.6%
ValueCountFrequency (%)
5 1
 
1.6%
4 5
 
7.9%
3 4
 
6.3%
2 15
23.8%
1 10
15.9%

C07
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.3%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean2.771428571
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:19.774809image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34.5
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.352541983
Coefficient of variation (CV)0.8488553547
Kurtosis-0.7705617677
Mean2.771428571
Median Absolute Deviation (MAD)0
Skewness0.9091119439
Sum97
Variance5.534453782
MonotonicityNot monotonic
2024-09-10T09:20:19.856531image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 20
31.7%
7 6
 
9.5%
3 4
 
6.3%
5 3
 
4.8%
4 2
 
3.2%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 20
31.7%
3 4
 
6.3%
4 2
 
3.2%
5 3
 
4.8%
7 6
 
9.5%
ValueCountFrequency (%)
7 6
 
9.5%
5 3
 
4.8%
4 2
 
3.2%
3 4
 
6.3%
1 20
31.7%

C08
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.342857143
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:19.941917image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.481593992
Coefficient of variation (CV)0.3586338238
Kurtosis-1.616847826
Mean1.342857143
Median Absolute Deviation (MAD)0
Skewness0.6921459547
Sum47
Variance0.2319327731
MonotonicityNot monotonic
2024-09-10T09:20:20.037910image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 23
36.5%
2 12
19.0%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 23
36.5%
2 12
19.0%
ValueCountFrequency (%)
2 12
19.0%
1 23
36.5%

C10_37
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)11.4%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean2.828571429
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:20.121194image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33.5
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.8570027897
Coefficient of variation (CV)0.3029807842
Kurtosis-1.054873137
Mean2.828571429
Median Absolute Deviation (MAD)1
Skewness0.05049018677
Sum99
Variance0.7344537815
MonotonicityNot monotonic
2024-09-10T09:20:20.206108image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 13
20.6%
3 12
19.0%
4 9
 
14.3%
1 1
 
1.6%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 1
 
1.6%
2 13
20.6%
3 12
19.0%
4 9
14.3%
ValueCountFrequency (%)
4 9
14.3%
3 12
19.0%
2 13
20.6%
1 1
 
1.6%

C10_38
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)11.4%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.8
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:20.291444image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7592566024
Coefficient of variation (CV)0.4218092235
Kurtosis0.6307977737
Mean1.8
Median Absolute Deviation (MAD)1
Skewness0.7868256865
Sum63
Variance0.5764705882
MonotonicityNot monotonic
2024-09-10T09:20:20.378653image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 17
27.0%
1 13
20.6%
3 4
 
6.3%
4 1
 
1.6%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 13
20.6%
2 17
27.0%
3 4
 
6.3%
4 1
 
1.6%
ValueCountFrequency (%)
4 1
 
1.6%
3 4
 
6.3%
2 17
27.0%
1 13
20.6%

C10_39
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)11.8%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean1.323529412
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:20.463286image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3.35
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8060599359
Coefficient of variation (CV)0.6090230627
Kurtosis6.304914617
Mean1.323529412
Median Absolute Deviation (MAD)0
Skewness2.645852938
Sum45
Variance0.6497326203
MonotonicityNot monotonic
2024-09-10T09:20:20.548212image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 28
44.4%
2 3
 
4.8%
4 2
 
3.2%
3 1
 
1.6%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 28
44.4%
2 3
 
4.8%
3 1
 
1.6%
4 2
 
3.2%
ValueCountFrequency (%)
4 2
 
3.2%
3 1
 
1.6%
2 3
 
4.8%
1 28
44.4%

C10_40
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)11.4%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.685714286
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:20.631547image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.022437358
Coefficient of variation (CV)0.6065306362
Kurtosis0.116323333
Mean1.685714286
Median Absolute Deviation (MAD)0
Skewness1.214063338
Sum59
Variance1.045378151
MonotonicityNot monotonic
2024-09-10T09:20:20.714702image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 22
34.9%
3 5
 
7.9%
2 5
 
7.9%
4 3
 
4.8%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 22
34.9%
2 5
 
7.9%
3 5
 
7.9%
4 3
 
4.8%
ValueCountFrequency (%)
4 3
 
4.8%
3 5
 
7.9%
2 5
 
7.9%
1 22
34.9%

C10_41
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)11.4%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.942857143
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:20.796140image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8725505933
Coefficient of variation (CV)0.449106923
Kurtosis-0.8973240807
Mean1.942857143
Median Absolute Deviation (MAD)1
Skewness0.3965114713
Sum68
Variance0.7613445378
MonotonicityNot monotonic
2024-09-10T09:20:20.880306image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 13
20.6%
2 12
19.0%
3 9
 
14.3%
4 1
 
1.6%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 13
20.6%
2 12
19.0%
3 9
14.3%
4 1
 
1.6%
ValueCountFrequency (%)
4 1
 
1.6%
3 9
14.3%
2 12
19.0%
1 13
20.6%

C10_42
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)11.4%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.685714286
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:20.965415image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7959983953
Coefficient of variation (CV)0.4722024379
Kurtosis0.6063529674
Mean1.685714286
Median Absolute Deviation (MAD)1
Skewness1.014236467
Sum59
Variance0.6336134454
MonotonicityNot monotonic
2024-09-10T09:20:21.050664image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 17
27.0%
2 13
20.6%
3 4
 
6.3%
4 1
 
1.6%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 17
27.0%
2 13
20.6%
3 4
 
6.3%
4 1
 
1.6%
ValueCountFrequency (%)
4 1
 
1.6%
3 4
 
6.3%
2 13
20.6%
1 17
27.0%

C10_43
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)11.4%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.885714286
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:21.137035image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3.3
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.963187984
Coefficient of variation (CV)0.5107815066
Kurtosis-0.7501087494
Mean1.885714286
Median Absolute Deviation (MAD)1
Skewness0.6586329588
Sum66
Variance0.9277310924
MonotonicityNot monotonic
2024-09-10T09:20:21.221956image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 16
25.4%
2 9
 
14.3%
3 8
 
12.7%
4 2
 
3.2%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 16
25.4%
2 9
14.3%
3 8
12.7%
4 2
 
3.2%
ValueCountFrequency (%)
4 2
 
3.2%
3 8
12.7%
2 9
14.3%
1 16
25.4%

C12_45
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.3%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean2.485714286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:21.309519image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.067471685
Coefficient of variation (CV)0.4294426319
Kurtosis-0.5435460704
Mean2.485714286
Median Absolute Deviation (MAD)1
Skewness0.1163140676
Sum87
Variance1.139495798
MonotonicityNot monotonic
2024-09-10T09:20:21.414361image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 14
22.2%
2 8
 
12.7%
1 8
 
12.7%
4 4
 
6.3%
5 1
 
1.6%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 8
12.7%
2 8
12.7%
3 14
22.2%
4 4
 
6.3%
5 1
 
1.6%
ValueCountFrequency (%)
5 1
 
1.6%
4 4
 
6.3%
3 14
22.2%
2 8
12.7%
1 8
12.7%

C12_46
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.3%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean2.885714286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:21.508704image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q12
median3
Q33.5
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.9932545604
Coefficient of variation (CV)0.3441971249
Kurtosis-0.297950615
Mean2.885714286
Median Absolute Deviation (MAD)1
Skewness0.2404324155
Sum101
Variance0.9865546218
MonotonicityNot monotonic
2024-09-10T09:20:21.603794image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 13
20.6%
2 11
 
17.5%
4 7
 
11.1%
1 2
 
3.2%
5 2
 
3.2%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 2
 
3.2%
2 11
17.5%
3 13
20.6%
4 7
11.1%
5 2
 
3.2%
ValueCountFrequency (%)
5 2
 
3.2%
4 7
11.1%
3 13
20.6%
2 11
17.5%
1 2
 
3.2%

C12_47
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.3%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean2.742857143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:21.695770image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9185300643
Coefficient of variation (CV)0.3348807526
Kurtosis0.1294834245
Mean2.742857143
Median Absolute Deviation (MAD)1
Skewness0.06939894773
Sum96
Variance0.843697479
MonotonicityNot monotonic
2024-09-10T09:20:21.792682image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 16
25.4%
2 10
 
15.9%
4 5
 
7.9%
1 3
 
4.8%
5 1
 
1.6%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 3
 
4.8%
2 10
15.9%
3 16
25.4%
4 5
 
7.9%
5 1
 
1.6%
ValueCountFrequency (%)
5 1
 
1.6%
4 5
 
7.9%
3 16
25.4%
2 10
15.9%
1 3
 
4.8%

C12_48
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.7%
Missing29
Missing (%)46.0%
Infinite0
Infinite (%)0.0%
Mean2.176470588
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:21.893254image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3.35
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9991083369
Coefficient of variation (CV)0.4590497764
Kurtosis0.3125531034
Mean2.176470588
Median Absolute Deviation (MAD)1
Skewness0.59316283
Sum74
Variance0.9982174688
MonotonicityNot monotonic
2024-09-10T09:20:21.985631image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 11
 
17.5%
2 11
 
17.5%
1 10
 
15.9%
4 1
 
1.6%
5 1
 
1.6%
(Missing) 29
46.0%
ValueCountFrequency (%)
1 10
15.9%
2 11
17.5%
3 11
17.5%
4 1
 
1.6%
5 1
 
1.6%
ValueCountFrequency (%)
5 1
 
1.6%
4 1
 
1.6%
3 11
17.5%
2 11
17.5%
1 10
15.9%

C12_49
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)14.3%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean3.057142857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:22.084236image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12.5
median3
Q34
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.9056313087
Coefficient of variation (CV)0.2962345402
Kurtosis-0.01203817095
Mean3.057142857
Median Absolute Deviation (MAD)1
Skewness0.1349397509
Sum107
Variance0.8201680672
MonotonicityNot monotonic
2024-09-10T09:20:22.177486image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 16
25.4%
2 8
 
12.7%
4 8
 
12.7%
5 2
 
3.2%
1 1
 
1.6%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 1
 
1.6%
2 8
12.7%
3 16
25.4%
4 8
12.7%
5 2
 
3.2%
ValueCountFrequency (%)
5 2
 
3.2%
4 8
12.7%
3 16
25.4%
2 8
12.7%
1 1
 
1.6%

D01
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.285714286
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:22.271797image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4583492485
Coefficient of variation (CV)0.35649386
Kurtosis-1.081818182
Mean1.285714286
Median Absolute Deviation (MAD)0
Skewness0.9917011013
Sum45
Variance0.2100840336
MonotonicityNot monotonic
2024-09-10T09:20:22.358627image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 25
39.7%
2 10
 
15.9%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 25
39.7%
2 10
 
15.9%
ValueCountFrequency (%)
2 10
 
15.9%
1 25
39.7%

D02
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)5.7%
Missing28
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean1.314285714
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:22.441729image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.471008216
Coefficient of variation (CV)0.3583758165
Kurtosis-1.383006198
Mean1.314285714
Median Absolute Deviation (MAD)0
Skewness0.836374782
Sum46
Variance0.2218487395
MonotonicityNot monotonic
2024-09-10T09:20:22.528841image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 24
38.1%
2 11
 
17.5%
(Missing) 28
44.4%
ValueCountFrequency (%)
1 24
38.1%
2 11
17.5%
ValueCountFrequency (%)
2 11
17.5%
1 24
38.1%

D03_54
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)12.9%
Missing32
Missing (%)50.8%
Infinite0
Infinite (%)0.0%
Mean2.451612903
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:22.608848image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9605106169
Coefficient of variation (CV)0.3917872253
Kurtosis-0.9362026929
Mean2.451612903
Median Absolute Deviation (MAD)1
Skewness-0.3359076607
Sum76
Variance0.9225806452
MonotonicityNot monotonic
2024-09-10T09:20:22.695266image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 15
23.8%
1 7
 
11.1%
2 6
 
9.5%
4 3
 
4.8%
(Missing) 32
50.8%
ValueCountFrequency (%)
1 7
11.1%
2 6
 
9.5%
3 15
23.8%
4 3
 
4.8%
ValueCountFrequency (%)
4 3
 
4.8%
3 15
23.8%
2 6
 
9.5%
1 7
11.1%

D03_55
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)12.9%
Missing32
Missing (%)50.8%
Infinite0
Infinite (%)0.0%
Mean2.096774194
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:22.780790image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9075549096
Coefficient of variation (CV)0.43283388
Kurtosis-1.22943376
Mean2.096774194
Median Absolute Deviation (MAD)1
Skewness0.08571247979
Sum65
Variance0.823655914
MonotonicityNot monotonic
2024-09-10T09:20:22.864063image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 11
 
17.5%
1 10
 
15.9%
2 9
 
14.3%
4 1
 
1.6%
(Missing) 32
50.8%
ValueCountFrequency (%)
1 10
15.9%
2 9
14.3%
3 11
17.5%
4 1
 
1.6%
ValueCountFrequency (%)
4 1
 
1.6%
3 11
17.5%
2 9
14.3%
1 10
15.9%

D03_56
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)9.7%
Missing32
Missing (%)50.8%
Infinite0
Infinite (%)0.0%
Mean1.129032258
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:22.950515image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4275461366
Coefficient of variation (CV)0.378683721
Kurtosis13.02066579
Mean1.129032258
Median Absolute Deviation (MAD)0
Skewness3.561054779
Sum35
Variance0.1827956989
MonotonicityNot monotonic
2024-09-10T09:20:23.041266image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 28
44.4%
2 2
 
3.2%
3 1
 
1.6%
(Missing) 32
50.8%
ValueCountFrequency (%)
1 28
44.4%
2 2
 
3.2%
3 1
 
1.6%
ValueCountFrequency (%)
3 1
 
1.6%
2 2
 
3.2%
1 28
44.4%

D03_57
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)12.9%
Missing32
Missing (%)50.8%
Infinite0
Infinite (%)0.0%
Mean1.838709677
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:23.128789image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.067607112
Coefficient of variation (CV)0.5806284295
Kurtosis-0.667343707
Mean1.838709677
Median Absolute Deviation (MAD)0
Skewness0.8689679188
Sum57
Variance1.139784946
MonotonicityNot monotonic
2024-09-10T09:20:23.216396image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 17
27.0%
3 6
 
9.5%
2 5
 
7.9%
4 3
 
4.8%
(Missing) 32
50.8%
ValueCountFrequency (%)
1 17
27.0%
2 5
 
7.9%
3 6
 
9.5%
4 3
 
4.8%
ValueCountFrequency (%)
4 3
 
4.8%
3 6
 
9.5%
2 5
 
7.9%
1 17
27.0%

D03_58
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)12.9%
Missing32
Missing (%)50.8%
Infinite0
Infinite (%)0.0%
Mean1.967741935
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:23.302505image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.048296109
Coefficient of variation (CV)0.5327406453
Kurtosis-0.917472003
Mean1.967741935
Median Absolute Deviation (MAD)1
Skewness0.6245373248
Sum61
Variance1.098924731
MonotonicityNot monotonic
2024-09-10T09:20:23.539047image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 14
22.2%
2 7
 
11.1%
3 7
 
11.1%
4 3
 
4.8%
(Missing) 32
50.8%
ValueCountFrequency (%)
1 14
22.2%
2 7
11.1%
3 7
11.1%
4 3
 
4.8%
ValueCountFrequency (%)
4 3
 
4.8%
3 7
11.1%
2 7
11.1%
1 14
22.2%

D03_59
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)9.7%
Missing32
Missing (%)50.8%
Infinite0
Infinite (%)0.0%
Mean1.290322581
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:23.627910image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.5
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5884186937
Coefficient of variation (CV)0.4560244876
Kurtosis2.968262035
Mean1.290322581
Median Absolute Deviation (MAD)0
Skewness1.957903167
Sum40
Variance0.3462365591
MonotonicityNot monotonic
2024-09-10T09:20:23.718084image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 24
38.1%
2 5
 
7.9%
3 2
 
3.2%
(Missing) 32
50.8%
ValueCountFrequency (%)
1 24
38.1%
2 5
 
7.9%
3 2
 
3.2%
ValueCountFrequency (%)
3 2
 
3.2%
2 5
 
7.9%
1 24
38.1%

D03_60
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)6.5%
Missing32
Missing (%)50.8%
Infinite0
Infinite (%)0.0%
Mean1.096774194
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:23.810554image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3005371535
Coefficient of variation (CV)0.2740191694
Kurtosis6.653764954
Mean1.096774194
Median Absolute Deviation (MAD)0
Skewness2.868427266
Sum34
Variance0.09032258065
MonotonicityNot monotonic
2024-09-10T09:20:23.895771image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 28
44.4%
2 3
 
4.8%
(Missing) 32
50.8%
ValueCountFrequency (%)
1 28
44.4%
2 3
 
4.8%
ValueCountFrequency (%)
2 3
 
4.8%
1 28
44.4%

D03_61
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)12.9%
Missing32
Missing (%)50.8%
Infinite0
Infinite (%)0.0%
Mean1.709677419
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:23.976609image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.5
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.070624378
Coefficient of variation (CV)0.6262142589
Kurtosis-0.1790897
Mean1.709677419
Median Absolute Deviation (MAD)0
Skewness1.152964765
Sum53
Variance1.146236559
MonotonicityNot monotonic
2024-09-10T09:20:24.058438image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 20
31.7%
3 5
 
7.9%
4 3
 
4.8%
2 3
 
4.8%
(Missing) 32
50.8%
ValueCountFrequency (%)
1 20
31.7%
2 3
 
4.8%
3 5
 
7.9%
4 3
 
4.8%
ValueCountFrequency (%)
4 3
 
4.8%
3 5
 
7.9%
2 3
 
4.8%
1 20
31.7%

D04
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)12.9%
Missing32
Missing (%)50.8%
Infinite0
Infinite (%)0.0%
Mean2.161290323
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:24.139478image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8204378584
Coefficient of variation (CV)0.3796055763
Kurtosis-0.7080552323
Mean2.161290323
Median Absolute Deviation (MAD)1
Skewness0.07089994442
Sum67
Variance0.6731182796
MonotonicityNot monotonic
2024-09-10T09:20:24.225543image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 13
20.6%
3 10
 
15.9%
1 7
 
11.1%
4 1
 
1.6%
(Missing) 32
50.8%
ValueCountFrequency (%)
1 7
11.1%
2 13
20.6%
3 10
15.9%
4 1
 
1.6%
ValueCountFrequency (%)
4 1
 
1.6%
3 10
15.9%
2 13
20.6%
1 7
11.1%

D06_01
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)6.5%
Missing32
Missing (%)50.8%
Memory size258.0 B
False
29 
True
 
2
(Missing)
32 
ValueCountFrequency (%)
False 29
46.0%
True 2
 
3.2%
(Missing) 32
50.8%
2024-09-10T09:20:24.311902image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

D06_02
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)6.5%
Missing32
Missing (%)50.8%
Memory size258.0 B
False
29 
True
 
2
(Missing)
32 
ValueCountFrequency (%)
False 29
46.0%
True 2
 
3.2%
(Missing) 32
50.8%
2024-09-10T09:20:24.385830image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

D06_03
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)6.5%
Missing32
Missing (%)50.8%
Memory size258.0 B
False
27 
True
(Missing)
32 
ValueCountFrequency (%)
False 27
42.9%
True 4
 
6.3%
(Missing) 32
50.8%
2024-09-10T09:20:24.457900image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

D06_04
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)6.5%
Missing32
Missing (%)50.8%
Memory size258.0 B
True
16 
False
15 
(Missing)
32 
ValueCountFrequency (%)
True 16
25.4%
False 15
23.8%
(Missing) 32
50.8%
2024-09-10T09:20:24.531065image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

D06_05
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)6.5%
Missing32
Missing (%)50.8%
Memory size258.0 B
False
19 
True
12 
(Missing)
32 
ValueCountFrequency (%)
False 19
30.2%
True 12
 
19.0%
(Missing) 32
50.8%
2024-09-10T09:20:24.606133image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

D06_06
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.2%
Missing32
Missing (%)50.8%
Memory size258.0 B
False
31 
(Missing)
32 
ValueCountFrequency (%)
False 31
49.2%
(Missing) 32
50.8%
2024-09-10T09:20:24.676387image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

D06_other
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

A01
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)6.2%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean1.4375
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:24.746017image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5040161288
Coefficient of variation (CV)0.3506199157
Kurtosis-2.063273125
Mean1.4375
Median Absolute Deviation (MAD)0
Skewness0.2645417988
Sum46
Variance0.2540322581
MonotonicityNot monotonic
2024-09-10T09:20:24.835222image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 18
28.6%
2 14
22.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 18
28.6%
2 14
22.2%
ValueCountFrequency (%)
2 14
22.2%
1 18
28.6%

A02
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct9
Distinct (%)28.1%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean76.46875
Minimum66
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:24.919176image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile71.55
Q176
median77
Q378
95-th percentile79
Maximum80
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.839631678
Coefficient of variation (CV)0.03713453767
Kurtosis5.216290643
Mean76.46875
Median Absolute Deviation (MAD)1
Skewness-2.025401382
Sum2447
Variance8.063508065
MonotonicityNot monotonic
2024-09-10T09:20:25.012720image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
77 10
 
15.9%
79 6
 
9.5%
76 6
 
9.5%
78 4
 
6.3%
72 2
 
3.2%
71 1
 
1.6%
80 1
 
1.6%
74 1
 
1.6%
66 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
66 1
 
1.6%
71 1
 
1.6%
72 2
 
3.2%
74 1
 
1.6%
76 6
9.5%
ValueCountFrequency (%)
80 1
 
1.6%
79 6
9.5%
78 4
 
6.3%
77 10
15.9%
76 6
9.5%

A03
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)6.2%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean206.4375
Minimum65
Maximum211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:25.096317image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum65
5-th percentile211
Q1211
median211
Q3211
95-th percentile211
Maximum211
Range146
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.80939751
Coefficient of variation (CV)0.1250228157
Kurtosis32
Mean206.4375
Median Absolute Deviation (MAD)0
Skewness-5.656854249
Sum6606
Variance666.125
MonotonicityNot monotonic
2024-09-10T09:20:25.180292image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
211 31
49.2%
65 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
65 1
 
1.6%
211 31
49.2%
ValueCountFrequency (%)
211 31
49.2%
65 1
 
1.6%

A04
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean4.21875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:25.267171image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q13
median3
Q35
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.995711127
Coefficient of variation (CV)0.4730574524
Kurtosis-0.5813125378
Mean4.21875
Median Absolute Deviation (MAD)0
Skewness0.6650809948
Sum135
Variance3.982862903
MonotonicityNot monotonic
2024-09-10T09:20:25.357311image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 17
27.0%
5 6
 
9.5%
7 4
 
6.3%
8 3
 
4.8%
1 2
 
3.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 2
 
3.2%
3 17
27.0%
5 6
 
9.5%
7 4
 
6.3%
8 3
 
4.8%
ValueCountFrequency (%)
8 3
 
4.8%
7 4
 
6.3%
5 6
 
9.5%
3 17
27.0%
1 2
 
3.2%

A05
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)6.2%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean1.0625
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:25.449625image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.45
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2459346884
Coefficient of variation (CV)0.231467942
Kurtosis13.22666667
Mean1.0625
Median Absolute Deviation (MAD)0
Skewness3.795045503
Sum34
Variance0.06048387097
MonotonicityNot monotonic
2024-09-10T09:20:25.536132image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 30
47.6%
2 2
 
3.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 30
47.6%
2 2
 
3.2%
ValueCountFrequency (%)
2 2
 
3.2%
1 30
47.6%

A07
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)12.5%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:25.618892image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.077631812
Coefficient of variation (CV)0.4789474721
Kurtosis-1.517337165
Mean2.25
Median Absolute Deviation (MAD)1
Skewness-0.04124269898
Sum72
Variance1.161290323
MonotonicityNot monotonic
2024-09-10T09:20:25.704351image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 14
22.2%
1 12
 
19.0%
2 3
 
4.8%
4 3
 
4.8%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 12
19.0%
2 3
 
4.8%
3 14
22.2%
4 3
 
4.8%
ValueCountFrequency (%)
4 3
 
4.8%
3 14
22.2%
2 3
 
4.8%
1 12
19.0%

A11
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean4.0625
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:25.790746image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation1.966452512
Coefficient of variation (CV)0.4840498492
Kurtosis-1.084652913
Mean4.0625
Median Absolute Deviation (MAD)1
Skewness-0.6899887094
Sum130
Variance3.866935484
MonotonicityNot monotonic
2024-09-10T09:20:25.881935image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
6 10
 
15.9%
1 8
 
12.7%
5 7
 
11.1%
4 6
 
9.5%
3 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 8
12.7%
3 1
 
1.6%
4 6
9.5%
5 7
11.1%
6 10
15.9%
ValueCountFrequency (%)
6 10
15.9%
5 7
11.1%
4 6
9.5%
3 1
 
1.6%
1 8
12.7%

B01_12
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.4375
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:25.967908image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q33.25
95-th percentile4.45
Maximum5
Range4
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.342542124
Coefficient of variation (CV)0.5507865124
Kurtosis-1.214444208
Mean2.4375
Median Absolute Deviation (MAD)1.5
Skewness0.3126060578
Sum78
Variance1.802419355
MonotonicityNot monotonic
2024-09-10T09:20:26.062379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 12
 
19.0%
3 8
 
12.7%
4 6
 
9.5%
2 4
 
6.3%
5 2
 
3.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 12
19.0%
2 4
 
6.3%
3 8
12.7%
4 6
9.5%
5 2
 
3.2%
ValueCountFrequency (%)
5 2
 
3.2%
4 6
9.5%
3 8
12.7%
2 4
 
6.3%
1 12
19.0%

B01_13
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)12.5%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean4.09375
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:26.154086image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.117583078
Coefficient of variation (CV)0.272997393
Kurtosis1.152001924
Mean4.09375
Median Absolute Deviation (MAD)1
Skewness-1.378363601
Sum131
Variance1.248991935
MonotonicityNot monotonic
2024-09-10T09:20:26.246547image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 14
22.2%
4 13
20.6%
2 4
 
6.3%
1 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 1
 
1.6%
2 4
 
6.3%
4 13
20.6%
5 14
22.2%
ValueCountFrequency (%)
5 14
22.2%
4 13
20.6%
2 4
 
6.3%
1 1
 
1.6%

B01_14
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean3.40625
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:26.338423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q12.75
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.160071605
Coefficient of variation (CV)0.3405714804
Kurtosis-0.62107045
Mean3.40625
Median Absolute Deviation (MAD)1
Skewness-0.4846659366
Sum109
Variance1.345766129
MonotonicityNot monotonic
2024-09-10T09:20:26.431764image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 13
20.6%
3 6
 
9.5%
2 6
 
9.5%
5 5
 
7.9%
1 2
 
3.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 2
 
3.2%
2 6
9.5%
3 6
9.5%
4 13
20.6%
5 5
 
7.9%
ValueCountFrequency (%)
5 5
 
7.9%
4 13
20.6%
3 6
9.5%
2 6
9.5%
1 2
 
3.2%

B01_15
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.6875
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:26.525103image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.229673442
Coefficient of variation (CV)0.4575529087
Kurtosis-1.312231283
Mean2.6875
Median Absolute Deviation (MAD)1
Skewness-0.01995109636
Sum86
Variance1.512096774
MonotonicityNot monotonic
2024-09-10T09:20:26.617393image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 10
 
15.9%
2 8
 
12.7%
1 7
 
11.1%
3 6
 
9.5%
5 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 7
11.1%
2 8
12.7%
3 6
9.5%
4 10
15.9%
5 1
 
1.6%
ValueCountFrequency (%)
5 1
 
1.6%
4 10
15.9%
3 6
9.5%
2 8
12.7%
1 7
11.1%

B01_16
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean3.53125
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:26.709737image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q13
median4
Q34.25
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.190943649
Coefficient of variation (CV)0.3372583784
Kurtosis-0.5407203064
Mean3.53125
Median Absolute Deviation (MAD)1
Skewness-0.445556389
Sum113
Variance1.418346774
MonotonicityNot monotonic
2024-09-10T09:20:26.799893image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 9
 
14.3%
3 9
 
14.3%
5 8
 
12.7%
2 4
 
6.3%
1 2
 
3.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 2
 
3.2%
2 4
6.3%
3 9
14.3%
4 9
14.3%
5 8
12.7%
ValueCountFrequency (%)
5 8
12.7%
4 9
14.3%
3 9
14.3%
2 4
6.3%
1 2
 
3.2%

B01_17
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean3.46875
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:26.889649image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.390854344
Coefficient of variation (CV)0.4009670181
Kurtosis-1.223073452
Mean3.46875
Median Absolute Deviation (MAD)1
Skewness-0.3916750159
Sum111
Variance1.934475806
MonotonicityNot monotonic
2024-09-10T09:20:26.983269image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 10
 
15.9%
4 8
 
12.7%
2 7
 
11.1%
3 4
 
6.3%
1 3
 
4.8%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 3
 
4.8%
2 7
11.1%
3 4
 
6.3%
4 8
12.7%
5 10
15.9%
ValueCountFrequency (%)
5 10
15.9%
4 8
12.7%
3 4
 
6.3%
2 7
11.1%
1 3
 
4.8%

B01_18
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.53125
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:27.073652image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile4.45
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.319442086
Coefficient of variation (CV)0.5212610712
Kurtosis-1.222111931
Mean2.53125
Median Absolute Deviation (MAD)1
Skewness0.3323859291
Sum81
Variance1.740927419
MonotonicityNot monotonic
2024-09-10T09:20:27.172579image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 9
 
14.3%
2 9
 
14.3%
4 8
 
12.7%
3 4
 
6.3%
5 2
 
3.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 9
14.3%
2 9
14.3%
3 4
6.3%
4 8
12.7%
5 2
 
3.2%
ValueCountFrequency (%)
5 2
 
3.2%
4 8
12.7%
3 4
6.3%
2 9
14.3%
1 9
14.3%

B01_19
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.75
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:27.264269image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2.5
Q34
95-th percentile4.45
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.16397539
Coefficient of variation (CV)0.4232637784
Kurtosis-0.922073657
Mean2.75
Median Absolute Deviation (MAD)0.5
Skewness0.2618284779
Sum88
Variance1.35483871
MonotonicityNot monotonic
2024-09-10T09:20:27.364879image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 12
 
19.0%
4 8
 
12.7%
3 6
 
9.5%
1 4
 
6.3%
5 2
 
3.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 4
 
6.3%
2 12
19.0%
3 6
9.5%
4 8
12.7%
5 2
 
3.2%
ValueCountFrequency (%)
5 2
 
3.2%
4 8
12.7%
3 6
9.5%
2 12
19.0%
1 4
 
6.3%

B01_20
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.84375
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:27.458398image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2.5
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.247174225
Coefficient of variation (CV)0.4385667606
Kurtosis-1.15740434
Mean2.84375
Median Absolute Deviation (MAD)1
Skewness0.2079620219
Sum91
Variance1.555443548
MonotonicityNot monotonic
2024-09-10T09:20:27.551495image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 12
 
19.0%
4 9
 
14.3%
3 4
 
6.3%
1 4
 
6.3%
5 3
 
4.8%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 4
 
6.3%
2 12
19.0%
3 4
 
6.3%
4 9
14.3%
5 3
 
4.8%
ValueCountFrequency (%)
5 3
 
4.8%
4 9
14.3%
3 4
 
6.3%
2 12
19.0%
1 4
 
6.3%

B01_21
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.65625
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:27.645094image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.494276716
Coefficient of variation (CV)0.5625512342
Kurtosis-1.244099227
Mean2.65625
Median Absolute Deviation (MAD)1
Skewness0.4504772713
Sum85
Variance2.232862903
MonotonicityNot monotonic
2024-09-10T09:20:27.735159image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 9
 
14.3%
2 9
 
14.3%
5 6
 
9.5%
4 4
 
6.3%
3 4
 
6.3%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 9
14.3%
2 9
14.3%
3 4
6.3%
4 4
6.3%
5 6
9.5%
ValueCountFrequency (%)
5 6
9.5%
4 4
6.3%
3 4
6.3%
2 9
14.3%
1 9
14.3%

B01_22
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:27.824495image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.295152252
Coefficient of variation (CV)0.5756232229
Kurtosis-0.1427922873
Mean2.25
Median Absolute Deviation (MAD)1
Skewness0.9265319954
Sum72
Variance1.677419355
MonotonicityNot monotonic
2024-09-10T09:20:27.917861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 11
 
17.5%
2 11
 
17.5%
3 4
 
6.3%
4 3
 
4.8%
5 3
 
4.8%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 11
17.5%
2 11
17.5%
3 4
 
6.3%
4 3
 
4.8%
5 3
 
4.8%
ValueCountFrequency (%)
5 3
 
4.8%
4 3
 
4.8%
3 4
 
6.3%
2 11
17.5%
1 11
17.5%

B01_23
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean3.9375
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:28.008314image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.10533895
Coefficient of variation (CV)0.2807210031
Kurtosis0.526019198
Mean3.9375
Median Absolute Deviation (MAD)1
Skewness-1.092805779
Sum126
Variance1.221774194
MonotonicityNot monotonic
2024-09-10T09:20:28.104688image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 14
22.2%
5 11
 
17.5%
2 4
 
6.3%
3 2
 
3.2%
1 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 1
 
1.6%
2 4
 
6.3%
3 2
 
3.2%
4 14
22.2%
5 11
17.5%
ValueCountFrequency (%)
5 11
17.5%
4 14
22.2%
3 2
 
3.2%
2 4
 
6.3%
1 1
 
1.6%

B01_24
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean3.90625
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:28.197098image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.146083795
Coefficient of variation (CV)0.2933974514
Kurtosis0.7207990355
Mean3.90625
Median Absolute Deviation (MAD)1
Skewness-1.040481421
Sum125
Variance1.313508065
MonotonicityNot monotonic
2024-09-10T09:20:28.296811image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 12
 
19.0%
4 10
 
15.9%
3 7
 
11.1%
1 2
 
3.2%
2 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 2
 
3.2%
2 1
 
1.6%
3 7
11.1%
4 10
15.9%
5 12
19.0%
ValueCountFrequency (%)
5 12
19.0%
4 10
15.9%
3 7
11.1%
2 1
 
1.6%
1 2
 
3.2%

B01_25
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.875
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:28.519032image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.385407824
Coefficient of variation (CV)0.4818809822
Kurtosis-1.330496336
Mean2.875
Median Absolute Deviation (MAD)1
Skewness0.004852498275
Sum92
Variance1.919354839
MonotonicityNot monotonic
2024-09-10T09:20:28.610040image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 9
 
14.3%
1 7
 
11.1%
2 7
 
11.1%
3 5
 
7.9%
5 4
 
6.3%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 7
11.1%
2 7
11.1%
3 5
7.9%
4 9
14.3%
5 4
6.3%
ValueCountFrequency (%)
5 4
6.3%
4 9
14.3%
3 5
7.9%
2 7
11.1%
1 7
11.1%

B01_26
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)12.5%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.6875
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:28.705672image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33.25
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.8957786305
Coefficient of variation (CV)0.3333129788
Kurtosis-1.155576531
Mean2.6875
Median Absolute Deviation (MAD)0.5
Skewness0.3971727862
Sum86
Variance0.8024193548
MonotonicityNot monotonic
2024-09-10T09:20:28.791290image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 16
25.4%
4 8
 
12.7%
3 7
 
11.1%
1 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 1
 
1.6%
2 16
25.4%
3 7
11.1%
4 8
12.7%
ValueCountFrequency (%)
4 8
12.7%
3 7
11.1%
2 16
25.4%
1 1
 
1.6%

B01_27
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean3.21875
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:28.879817image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile4.45
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.128355212
Coefficient of variation (CV)0.350556959
Kurtosis-0.6162893604
Mean3.21875
Median Absolute Deviation (MAD)1
Skewness-0.6044434527
Sum103
Variance1.273185484
MonotonicityNot monotonic
2024-09-10T09:20:28.973454image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 15
23.8%
3 6
 
9.5%
2 6
 
9.5%
1 3
 
4.8%
5 2
 
3.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 3
 
4.8%
2 6
 
9.5%
3 6
 
9.5%
4 15
23.8%
5 2
 
3.2%
ValueCountFrequency (%)
5 2
 
3.2%
4 15
23.8%
3 6
 
9.5%
2 6
 
9.5%
1 3
 
4.8%

B01_28
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.5625
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:29.067058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4.45
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.162241994
Coefficient of variation (CV)0.4535578511
Kurtosis-0.5433478618
Mean2.5625
Median Absolute Deviation (MAD)1
Skewness0.4304598442
Sum82
Variance1.350806452
MonotonicityNot monotonic
2024-09-10T09:20:29.160534image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 11
 
17.5%
3 8
 
12.7%
1 6
 
9.5%
4 5
 
7.9%
5 2
 
3.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 6
9.5%
2 11
17.5%
3 8
12.7%
4 5
7.9%
5 2
 
3.2%
ValueCountFrequency (%)
5 2
 
3.2%
4 5
7.9%
3 8
12.7%
2 11
17.5%
1 6
9.5%

B01_29
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.09375
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:29.251469image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.088336256
Coefficient of variation (CV)0.519802391
Kurtosis0.3161813596
Mean2.09375
Median Absolute Deviation (MAD)1
Skewness0.9247767677
Sum67
Variance1.184475806
MonotonicityNot monotonic
2024-09-10T09:20:29.347242image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 12
 
19.0%
1 11
 
17.5%
3 5
 
7.9%
4 3
 
4.8%
5 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 11
17.5%
2 12
19.0%
3 5
7.9%
4 3
 
4.8%
5 1
 
1.6%
ValueCountFrequency (%)
5 1
 
1.6%
4 3
 
4.8%
3 5
7.9%
2 12
19.0%
1 11
17.5%

B01_30
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)12.5%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.46875
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:29.435651image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.077163988
Coefficient of variation (CV)0.4363195903
Kurtosis-1.214514326
Mean2.46875
Median Absolute Deviation (MAD)1
Skewness0.08598051762
Sum79
Variance1.160282258
MonotonicityNot monotonic
2024-09-10T09:20:29.521154image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 10
 
15.9%
3 8
 
12.7%
4 7
 
11.1%
1 7
 
11.1%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 7
11.1%
2 10
15.9%
3 8
12.7%
4 7
11.1%
ValueCountFrequency (%)
4 7
11.1%
3 8
12.7%
2 10
15.9%
1 7
11.1%

B01_31
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.1875
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:29.607161image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.148280622
Coefficient of variation (CV)0.5249282844
Kurtosis-0.3806204633
Mean2.1875
Median Absolute Deviation (MAD)1
Skewness0.6998896518
Sum70
Variance1.318548387
MonotonicityNot monotonic
2024-09-10T09:20:29.699414image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 11
 
17.5%
2 10
 
15.9%
3 6
 
9.5%
4 4
 
6.3%
5 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 11
17.5%
2 10
15.9%
3 6
9.5%
4 4
 
6.3%
5 1
 
1.6%
ValueCountFrequency (%)
5 1
 
1.6%
4 4
 
6.3%
3 6
9.5%
2 10
15.9%
1 11
17.5%

F01_34
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)12.5%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.125
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:29.788054image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.039540842
Coefficient of variation (CV)0.4891956902
Kurtosis-0.6259961131
Mean2.125
Median Absolute Deviation (MAD)1
Skewness0.6547092598
Sum68
Variance1.080645161
MonotonicityNot monotonic
2024-09-10T09:20:29.871951image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 13
20.6%
1 10
 
15.9%
4 5
 
7.9%
3 4
 
6.3%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 10
15.9%
2 13
20.6%
3 4
 
6.3%
4 5
 
7.9%
ValueCountFrequency (%)
4 5
 
7.9%
3 4
 
6.3%
2 13
20.6%
1 10
15.9%

F01_35
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)21.9%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.375
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:29.960154image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q33
95-th percentile5.45
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.736700617
Coefficient of variation (CV)0.731242365
Kurtosis0.3222700697
Mean2.375
Median Absolute Deviation (MAD)0.5
Skewness1.110963943
Sum76
Variance3.016129032
MonotonicityNot monotonic
2024-09-10T09:20:30.056178image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 16
25.4%
3 6
 
9.5%
5 3
 
4.8%
2 3
 
4.8%
4 2
 
3.2%
7 1
 
1.6%
6 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 16
25.4%
2 3
 
4.8%
3 6
 
9.5%
4 2
 
3.2%
5 3
 
4.8%
ValueCountFrequency (%)
7 1
 
1.6%
6 1
 
1.6%
5 3
4.8%
4 2
 
3.2%
3 6
9.5%

F01_36
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:30.140492image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.524001524
Coefficient of variation (CV)0.6773340107
Kurtosis1.719005428
Mean2.25
Median Absolute Deviation (MAD)1
Skewness1.414405118
Sum72
Variance2.322580645
MonotonicityNot monotonic
2024-09-10T09:20:30.225413image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 13
20.6%
2 10
 
15.9%
4 4
 
6.3%
3 2
 
3.2%
5 2
 
3.2%
7 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 13
20.6%
2 10
15.9%
3 2
 
3.2%
4 4
 
6.3%
5 2
 
3.2%
ValueCountFrequency (%)
7 1
 
1.6%
5 2
 
3.2%
4 4
 
6.3%
3 2
 
3.2%
2 10
15.9%

F01_37
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.6875
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:30.312490image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5.45
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.730886404
Coefficient of variation (CV)0.6440507548
Kurtosis-1.157391713
Mean2.6875
Median Absolute Deviation (MAD)1
Skewness0.5576772147
Sum86
Variance2.995967742
MonotonicityNot monotonic
2024-09-10T09:20:30.402375image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 12
 
19.0%
2 6
 
9.5%
5 5
 
7.9%
4 4
 
6.3%
3 3
 
4.8%
6 2
 
3.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 12
19.0%
2 6
9.5%
3 3
 
4.8%
4 4
 
6.3%
5 5
7.9%
ValueCountFrequency (%)
6 2
 
3.2%
5 5
7.9%
4 4
6.3%
3 3
4.8%
2 6
9.5%

F01_38
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean1.78125
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:30.481114image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.430866532
Coefficient of variation (CV)0.8032934916
Kurtosis5.73111495
Mean1.78125
Median Absolute Deviation (MAD)0
Skewness2.384165726
Sum57
Variance2.047379032
MonotonicityNot monotonic
2024-09-10T09:20:30.563455image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 20
31.7%
2 7
 
11.1%
5 2
 
3.2%
3 2
 
3.2%
7 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 20
31.7%
2 7
 
11.1%
3 2
 
3.2%
5 2
 
3.2%
7 1
 
1.6%
ValueCountFrequency (%)
7 1
 
1.6%
5 2
 
3.2%
3 2
 
3.2%
2 7
 
11.1%
1 20
31.7%

F01_39
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)21.9%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.46875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:30.648243image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5.45
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.626085246
Coefficient of variation (CV)0.6586674412
Kurtosis3.387356952
Mean2.46875
Median Absolute Deviation (MAD)1
Skewness1.668049323
Sum79
Variance2.644153226
MonotonicityNot monotonic
2024-09-10T09:20:30.735693image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 10
 
15.9%
2 10
 
15.9%
3 6
 
9.5%
4 3
 
4.8%
5 1
 
1.6%
6 1
 
1.6%
8 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 10
15.9%
2 10
15.9%
3 6
9.5%
4 3
 
4.8%
5 1
 
1.6%
ValueCountFrequency (%)
8 1
 
1.6%
6 1
 
1.6%
5 1
 
1.6%
4 3
4.8%
3 6
9.5%

F01_40
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.78125
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:30.824773image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.809194706
Coefficient of variation (CV)0.6504969729
Kurtosis-1.032481551
Mean2.78125
Median Absolute Deviation (MAD)1
Skewness0.6270879372
Sum89
Variance3.273185484
MonotonicityNot monotonic
2024-09-10T09:20:30.912543image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 11
 
17.5%
2 7
 
11.1%
6 4
 
6.3%
4 4
 
6.3%
3 3
 
4.8%
5 3
 
4.8%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 11
17.5%
2 7
11.1%
3 3
 
4.8%
4 4
 
6.3%
5 3
 
4.8%
ValueCountFrequency (%)
6 4
6.3%
5 3
4.8%
4 4
6.3%
3 3
4.8%
2 7
11.1%

F01_41
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.1875
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:30.995956image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.401324258
Coefficient of variation (CV)0.6406053753
Kurtosis0.7066983953
Mean2.1875
Median Absolute Deviation (MAD)1
Skewness1.219732147
Sum70
Variance1.963709677
MonotonicityNot monotonic
2024-09-10T09:20:31.085646image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 13
20.6%
2 10
 
15.9%
3 3
 
4.8%
4 3
 
4.8%
5 2
 
3.2%
6 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 13
20.6%
2 10
15.9%
3 3
 
4.8%
4 3
 
4.8%
5 2
 
3.2%
ValueCountFrequency (%)
6 1
 
1.6%
5 2
 
3.2%
4 3
 
4.8%
3 3
 
4.8%
2 10
15.9%

F01_42
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)21.9%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean3.15625
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:31.169034image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34.25
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.79801638
Coefficient of variation (CV)0.5696685561
Kurtosis0.06958353647
Mean3.15625
Median Absolute Deviation (MAD)1
Skewness0.6742350284
Sum101
Variance3.232862903
MonotonicityNot monotonic
2024-09-10T09:20:31.260684image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 7
 
11.1%
3 7
 
11.1%
2 6
 
9.5%
5 5
 
7.9%
4 4
 
6.3%
6 2
 
3.2%
8 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 7
11.1%
2 6
9.5%
3 7
11.1%
4 4
6.3%
5 5
7.9%
ValueCountFrequency (%)
8 1
 
1.6%
6 2
 
3.2%
5 5
7.9%
4 4
6.3%
3 7
11.1%

F01_43
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean3.15625
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:31.353428image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.885588383
Coefficient of variation (CV)0.597414141
Kurtosis-1.605344279
Mean3.15625
Median Absolute Deviation (MAD)1.5
Skewness0.1909940135
Sum101
Variance3.555443548
MonotonicityNot monotonic
2024-09-10T09:20:31.439886image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 9
 
14.3%
5 7
 
11.1%
2 7
 
11.1%
6 4
 
6.3%
4 4
 
6.3%
3 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 9
14.3%
2 7
11.1%
3 1
 
1.6%
4 4
6.3%
5 7
11.1%
ValueCountFrequency (%)
6 4
6.3%
5 7
11.1%
4 4
6.3%
3 1
 
1.6%
2 7
11.1%

F01_44
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean1.875
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:31.522769image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile4.45
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.23784412
Coefficient of variation (CV)0.6601835305
Kurtosis3.681837043
Mean1.875
Median Absolute Deviation (MAD)0.5
Skewness1.884430795
Sum60
Variance1.532258065
MonotonicityNot monotonic
2024-09-10T09:20:31.612398image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 16
25.4%
2 10
 
15.9%
3 3
 
4.8%
6 1
 
1.6%
5 1
 
1.6%
4 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 16
25.4%
2 10
15.9%
3 3
 
4.8%
4 1
 
1.6%
5 1
 
1.6%
ValueCountFrequency (%)
6 1
 
1.6%
5 1
 
1.6%
4 1
 
1.6%
3 3
 
4.8%
2 10
15.9%

F01_45
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct8
Distinct (%)25.0%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.59375
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:31.698258image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.25
95-th percentile6.45
Maximum8
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.932061827
Coefficient of variation (CV)0.7448913068
Kurtosis1.049580413
Mean2.59375
Median Absolute Deviation (MAD)1
Skewness1.336711206
Sum83
Variance3.732862903
MonotonicityNot monotonic
2024-09-10T09:20:31.788473image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 12
 
19.0%
2 9
 
14.3%
3 3
 
4.8%
5 3
 
4.8%
4 2
 
3.2%
6 1
 
1.6%
8 1
 
1.6%
7 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 12
19.0%
2 9
14.3%
3 3
 
4.8%
4 2
 
3.2%
5 3
 
4.8%
ValueCountFrequency (%)
8 1
 
1.6%
7 1
 
1.6%
6 1
 
1.6%
5 3
4.8%
4 2
3.2%

F01_46
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:31.874164image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6.45
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.83162188
Coefficient of variation (CV)0.7326487518
Kurtosis0.8678228933
Mean2.5
Median Absolute Deviation (MAD)1
Skewness1.310314114
Sum80
Variance3.35483871
MonotonicityNot monotonic
2024-09-10T09:20:31.957981image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 13
20.6%
2 7
 
11.1%
3 5
 
7.9%
4 3
 
4.8%
6 2
 
3.2%
7 2
 
3.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 13
20.6%
2 7
11.1%
3 5
 
7.9%
4 3
 
4.8%
6 2
 
3.2%
ValueCountFrequency (%)
7 2
 
3.2%
6 2
 
3.2%
4 3
4.8%
3 5
7.9%
2 7
11.1%

F01_47
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:32.044812image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.565762723
Coefficient of variation (CV)0.6958945433
Kurtosis-0.6371597096
Mean2.25
Median Absolute Deviation (MAD)0
Skewness0.8470732956
Sum72
Variance2.451612903
MonotonicityNot monotonic
2024-09-10T09:20:32.137347image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 17
27.0%
4 6
 
9.5%
3 3
 
4.8%
2 3
 
4.8%
5 2
 
3.2%
6 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 17
27.0%
2 3
 
4.8%
3 3
 
4.8%
4 6
 
9.5%
5 2
 
3.2%
ValueCountFrequency (%)
6 1
 
1.6%
5 2
 
3.2%
4 6
9.5%
3 3
4.8%
2 3
4.8%

F01_48
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)21.9%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean3.6875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:32.221543image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.69320273
Coefficient of variation (CV)0.4591736216
Kurtosis0.05411976132
Mean3.6875
Median Absolute Deviation (MAD)1
Skewness0.3139881364
Sum118
Variance2.866935484
MonotonicityNot monotonic
2024-09-10T09:20:32.309348image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 8
 
12.7%
4 8
 
12.7%
1 4
 
6.3%
5 4
 
6.3%
6 4
 
6.3%
2 3
 
4.8%
8 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 4
6.3%
2 3
 
4.8%
3 8
12.7%
4 8
12.7%
5 4
6.3%
ValueCountFrequency (%)
8 1
 
1.6%
6 4
6.3%
5 4
6.3%
4 8
12.7%
3 8
12.7%

F01_49
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)21.9%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.5625
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:32.396155image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.25
95-th percentile5.9
Maximum8
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.758619326
Coefficient of variation (CV)0.6862904689
Kurtosis2.356220673
Mean2.5625
Median Absolute Deviation (MAD)1
Skewness1.483622082
Sum82
Variance3.092741935
MonotonicityNot monotonic
2024-09-10T09:20:32.492058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 11
 
17.5%
2 8
 
12.7%
4 5
 
7.9%
3 5
 
7.9%
8 1
 
1.6%
7 1
 
1.6%
5 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 11
17.5%
2 8
12.7%
3 5
7.9%
4 5
7.9%
5 1
 
1.6%
ValueCountFrequency (%)
8 1
 
1.6%
7 1
 
1.6%
5 1
 
1.6%
4 5
7.9%
3 5
7.9%

F01_50
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean3.28125
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:32.582174image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34.25
95-th percentile5.45
Maximum6
Range5
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.507708687
Coefficient of variation (CV)0.4594921712
Kurtosis-1.090462066
Mean3.28125
Median Absolute Deviation (MAD)1
Skewness0.08865010712
Sum105
Variance2.273185484
MonotonicityNot monotonic
2024-09-10T09:20:32.668705image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 8
 
12.7%
4 7
 
11.1%
5 6
 
9.5%
3 5
 
7.9%
1 4
 
6.3%
6 2
 
3.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 4
6.3%
2 8
12.7%
3 5
7.9%
4 7
11.1%
5 6
9.5%
ValueCountFrequency (%)
6 2
 
3.2%
5 6
9.5%
4 7
11.1%
3 5
7.9%
2 8
12.7%

F01_51
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean1.96875
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:32.758708image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32.25
95-th percentile4.9
Maximum6
Range5
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.355618535
Coefficient of variation (CV)0.6885681448
Kurtosis3.236335514
Mean1.96875
Median Absolute Deviation (MAD)0.5
Skewness1.800272464
Sum63
Variance1.837701613
MonotonicityNot monotonic
2024-09-10T09:20:32.846546image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 16
25.4%
2 8
 
12.7%
3 5
 
7.9%
6 2
 
3.2%
4 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 16
25.4%
2 8
12.7%
3 5
 
7.9%
4 1
 
1.6%
6 2
 
3.2%
ValueCountFrequency (%)
6 2
 
3.2%
4 1
 
1.6%
3 5
 
7.9%
2 8
12.7%
1 16
25.4%

F01_52
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.40625
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:32.931677image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5.45
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.542084367
Coefficient of variation (CV)0.6408662303
Kurtosis0.08749161777
Mean2.40625
Median Absolute Deviation (MAD)1
Skewness1.004074736
Sum77
Variance2.378024194
MonotonicityNot monotonic
2024-09-10T09:20:33.027576image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 12
 
19.0%
2 8
 
12.7%
3 5
 
7.9%
4 3
 
4.8%
5 2
 
3.2%
6 2
 
3.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 12
19.0%
2 8
12.7%
3 5
7.9%
4 3
 
4.8%
5 2
 
3.2%
ValueCountFrequency (%)
6 2
 
3.2%
5 2
 
3.2%
4 3
 
4.8%
3 5
7.9%
2 8
12.7%

F01_53
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean1.9375
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:33.114949image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.366358476
Coefficient of variation (CV)0.7052172777
Kurtosis2.116123777
Mean1.9375
Median Absolute Deviation (MAD)0
Skewness1.65722458
Sum62
Variance1.866935484
MonotonicityNot monotonic
2024-09-10T09:20:33.363245image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 17
27.0%
2 8
 
12.7%
3 3
 
4.8%
5 2
 
3.2%
6 1
 
1.6%
4 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 17
27.0%
2 8
12.7%
3 3
 
4.8%
4 1
 
1.6%
5 2
 
3.2%
ValueCountFrequency (%)
6 1
 
1.6%
5 2
 
3.2%
4 1
 
1.6%
3 3
 
4.8%
2 8
12.7%

F01_54
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)21.9%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.1875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:33.447667image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.25
95-th percentile5.45
Maximum8
Range7
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.615199978
Coefficient of variation (CV)0.7383771326
Kurtosis5.048898021
Mean2.1875
Median Absolute Deviation (MAD)1
Skewness2.125480301
Sum70
Variance2.608870968
MonotonicityNot monotonic
2024-09-10T09:20:33.538559image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 13
20.6%
2 11
 
17.5%
3 4
 
6.3%
4 1
 
1.6%
8 1
 
1.6%
6 1
 
1.6%
5 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 13
20.6%
2 11
17.5%
3 4
 
6.3%
4 1
 
1.6%
5 1
 
1.6%
ValueCountFrequency (%)
8 1
 
1.6%
6 1
 
1.6%
5 1
 
1.6%
4 1
 
1.6%
3 4
6.3%

F01_55
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.28125
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:33.624716image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5.9
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.590990258
Coefficient of variation (CV)0.6974203869
Kurtosis3.3408977
Mean2.28125
Median Absolute Deviation (MAD)1
Skewness1.812025661
Sum73
Variance2.53125
MonotonicityNot monotonic
2024-09-10T09:20:33.708545image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 12
 
19.0%
2 10
 
15.9%
3 6
 
9.5%
7 2
 
3.2%
4 1
 
1.6%
5 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 12
19.0%
2 10
15.9%
3 6
9.5%
4 1
 
1.6%
5 1
 
1.6%
ValueCountFrequency (%)
7 2
 
3.2%
5 1
 
1.6%
4 1
 
1.6%
3 6
9.5%
2 10
15.9%

F01_56
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.1875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:33.795156image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.674042818
Coefficient of variation (CV)0.7652767166
Kurtosis3.536130185
Mean2.1875
Median Absolute Deviation (MAD)0.5
Skewness1.796366385
Sum70
Variance2.802419355
MonotonicityNot monotonic
2024-09-10T09:20:33.881874image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 16
25.4%
2 6
 
9.5%
3 5
 
7.9%
5 3
 
4.8%
8 1
 
1.6%
4 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 16
25.4%
2 6
 
9.5%
3 5
 
7.9%
4 1
 
1.6%
5 3
 
4.8%
ValueCountFrequency (%)
8 1
 
1.6%
5 3
4.8%
4 1
 
1.6%
3 5
7.9%
2 6
9.5%

F01_57
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.46875
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:33.970835image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5.45
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.436491582
Coefficient of variation (CV)0.5818700078
Kurtosis0.5123545669
Mean2.46875
Median Absolute Deviation (MAD)1
Skewness0.9721481666
Sum79
Variance2.063508065
MonotonicityNot monotonic
2024-09-10T09:20:34.058512image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 10
 
15.9%
2 8
 
12.7%
3 8
 
12.7%
4 3
 
4.8%
6 2
 
3.2%
5 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 10
15.9%
2 8
12.7%
3 8
12.7%
4 3
 
4.8%
5 1
 
1.6%
ValueCountFrequency (%)
6 2
 
3.2%
5 1
 
1.6%
4 3
 
4.8%
3 8
12.7%
2 8
12.7%

F01_58
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)21.9%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean3.5625
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:34.140726image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3.5
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.74017982
Coefficient of variation (CV)0.4884715285
Kurtosis-0.2039916168
Mean3.5625
Median Absolute Deviation (MAD)1.5
Skewness0.3780009435
Sum114
Variance3.028225806
MonotonicityNot monotonic
2024-09-10T09:20:34.232017image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 6
 
9.5%
4 6
 
9.5%
5 6
 
9.5%
2 6
 
9.5%
1 4
 
6.3%
6 3
 
4.8%
8 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 4
6.3%
2 6
9.5%
3 6
9.5%
4 6
9.5%
5 6
9.5%
ValueCountFrequency (%)
8 1
 
1.6%
6 3
4.8%
5 6
9.5%
4 6
9.5%
3 6
9.5%

F01_59
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)21.9%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean4.28125
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:34.319459image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35.25
95-th percentile6.9
Maximum8
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.904737303
Coefficient of variation (CV)0.4449021438
Kurtosis-0.3759700182
Mean4.28125
Median Absolute Deviation (MAD)1
Skewness-0.2221103986
Sum137
Variance3.628024194
MonotonicityNot monotonic
2024-09-10T09:20:34.408680image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 9
 
14.3%
4 6
 
9.5%
6 6
 
9.5%
1 4
 
6.3%
2 3
 
4.8%
8 2
 
3.2%
3 2
 
3.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 4
6.3%
2 3
 
4.8%
3 2
 
3.2%
4 6
9.5%
5 9
14.3%
ValueCountFrequency (%)
8 2
 
3.2%
6 6
9.5%
5 9
14.3%
4 6
9.5%
3 2
 
3.2%

F01_60
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:34.491909image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.45
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.319824035
Coefficient of variation (CV)0.5865884601
Kurtosis4.539804172
Mean2.25
Median Absolute Deviation (MAD)1
Skewness1.840873908
Sum72
Variance1.741935484
MonotonicityNot monotonic
2024-09-10T09:20:34.579011image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 14
22.2%
1 9
 
14.3%
3 5
 
7.9%
4 2
 
3.2%
7 1
 
1.6%
5 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 9
14.3%
2 14
22.2%
3 5
 
7.9%
4 2
 
3.2%
5 1
 
1.6%
ValueCountFrequency (%)
7 1
 
1.6%
5 1
 
1.6%
4 2
 
3.2%
3 5
 
7.9%
2 14
22.2%

F01_61
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean1.9375
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:34.662616image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4.45
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.412787225
Coefficient of variation (CV)0.729180503
Kurtosis4.528670614
Mean1.9375
Median Absolute Deviation (MAD)0
Skewness2.020792265
Sum62
Variance1.995967742
MonotonicityNot monotonic
2024-09-10T09:20:34.748473image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 17
27.0%
2 8
 
12.7%
3 3
 
4.8%
4 2
 
3.2%
7 1
 
1.6%
5 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 17
27.0%
2 8
12.7%
3 3
 
4.8%
4 2
 
3.2%
5 1
 
1.6%
ValueCountFrequency (%)
7 1
 
1.6%
5 1
 
1.6%
4 2
 
3.2%
3 3
 
4.8%
2 8
12.7%

F01_62
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.03125
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:34.838943image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.177322687
Coefficient of variation (CV)0.5796050152
Kurtosis2.761986729
Mean2.03125
Median Absolute Deviation (MAD)1
Skewness1.454270332
Sum65
Variance1.38608871
MonotonicityNot monotonic
2024-09-10T09:20:34.926375image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 13
20.6%
2 10
 
15.9%
3 6
 
9.5%
4 2
 
3.2%
6 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 13
20.6%
2 10
15.9%
3 6
9.5%
4 2
 
3.2%
6 1
 
1.6%
ValueCountFrequency (%)
6 1
 
1.6%
4 2
 
3.2%
3 6
9.5%
2 10
15.9%
1 13
20.6%

F01_63
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:35.016203image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.83162188
Coefficient of variation (CV)0.6105406265
Kurtosis-1.240379514
Mean3
Median Absolute Deviation (MAD)1
Skewness0.4367713713
Sum96
Variance3.35483871
MonotonicityNot monotonic
2024-09-10T09:20:35.102794image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 9
 
14.3%
2 8
 
12.7%
4 7
 
11.1%
6 5
 
7.9%
5 2
 
3.2%
3 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 9
14.3%
2 8
12.7%
3 1
 
1.6%
4 7
11.1%
5 2
 
3.2%
ValueCountFrequency (%)
6 5
7.9%
5 2
 
3.2%
4 7
11.1%
3 1
 
1.6%
2 8
12.7%

F01_64
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)12.5%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean1.78125
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:35.183116image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.832190076
Coefficient of variation (CV)0.4671944286
Kurtosis-0.00674036087
Mean1.78125
Median Absolute Deviation (MAD)1
Skewness0.8014488597
Sum57
Variance0.6925403226
MonotonicityNot monotonic
2024-09-10T09:20:35.272023image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 14
22.2%
2 12
 
19.0%
3 5
 
7.9%
4 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 14
22.2%
2 12
19.0%
3 5
 
7.9%
4 1
 
1.6%
ValueCountFrequency (%)
4 1
 
1.6%
3 5
 
7.9%
2 12
19.0%
1 14
22.2%

F01_65
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:35.361923image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.545023228
Coefficient of variation (CV)0.6180092911
Kurtosis-0.5171481827
Mean2.5
Median Absolute Deviation (MAD)1
Skewness0.8116732691
Sum80
Variance2.387096774
MonotonicityNot monotonic
2024-09-10T09:20:35.451474image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 11
 
17.5%
2 8
 
12.7%
3 6
 
9.5%
5 5
 
7.9%
6 1
 
1.6%
4 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 11
17.5%
2 8
12.7%
3 6
9.5%
4 1
 
1.6%
5 5
7.9%
ValueCountFrequency (%)
6 1
 
1.6%
5 5
7.9%
4 1
 
1.6%
3 6
9.5%
2 8
12.7%

F01_66
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)21.9%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.71875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:35.534230image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6.9
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.971316492
Coefficient of variation (CV)0.7250819279
Kurtosis1.638068178
Mean2.71875
Median Absolute Deviation (MAD)1
Skewness1.470348071
Sum87
Variance3.88608871
MonotonicityNot monotonic
2024-09-10T09:20:35.623435image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 10
 
15.9%
2 9
 
14.3%
3 6
 
9.5%
4 2
 
3.2%
8 2
 
3.2%
6 2
 
3.2%
5 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 10
15.9%
2 9
14.3%
3 6
9.5%
4 2
 
3.2%
5 1
 
1.6%
ValueCountFrequency (%)
8 2
 
3.2%
6 2
 
3.2%
5 1
 
1.6%
4 2
 
3.2%
3 6
9.5%

F01_67
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean1.9375
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:35.708439image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4.45
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.412787225
Coefficient of variation (CV)0.729180503
Kurtosis4.528670614
Mean1.9375
Median Absolute Deviation (MAD)0
Skewness2.020792265
Sum62
Variance1.995967742
MonotonicityNot monotonic
2024-09-10T09:20:35.793643image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 17
27.0%
2 8
 
12.7%
3 3
 
4.8%
4 2
 
3.2%
7 1
 
1.6%
5 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 17
27.0%
2 8
12.7%
3 3
 
4.8%
4 2
 
3.2%
5 1
 
1.6%
ValueCountFrequency (%)
7 1
 
1.6%
5 1
 
1.6%
4 2
 
3.2%
3 3
 
4.8%
2 8
12.7%

F01_68
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:35.884274image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.191366794
Coefficient of variation (CV)0.5956833972
Kurtosis2.672413793
Mean2
Median Absolute Deviation (MAD)1
Skewness1.465085777
Sum64
Variance1.419354839
MonotonicityNot monotonic
2024-09-10T09:20:35.973280image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 14
22.2%
2 9
 
14.3%
3 6
 
9.5%
4 2
 
3.2%
6 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 14
22.2%
2 9
14.3%
3 6
9.5%
4 2
 
3.2%
6 1
 
1.6%
ValueCountFrequency (%)
6 1
 
1.6%
4 2
 
3.2%
3 6
9.5%
2 9
14.3%
1 14
22.2%

F01_69
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.21875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:36.055986image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.58082002
Coefficient of variation (CV)0.7124822625
Kurtosis4.755975959
Mean2.21875
Median Absolute Deviation (MAD)1
Skewness1.966953171
Sum71
Variance2.498991935
MonotonicityNot monotonic
2024-09-10T09:20:36.143666image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 13
20.6%
2 10
 
15.9%
3 4
 
6.3%
4 2
 
3.2%
5 2
 
3.2%
8 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 13
20.6%
2 10
15.9%
3 4
 
6.3%
4 2
 
3.2%
5 2
 
3.2%
ValueCountFrequency (%)
8 1
 
1.6%
5 2
 
3.2%
4 2
 
3.2%
3 4
 
6.3%
2 10
15.9%

F01_70
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.71875
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:36.231727image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2.5
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.442094691
Coefficient of variation (CV)0.5304256333
Kurtosis-0.7306713838
Mean2.71875
Median Absolute Deviation (MAD)1.5
Skewness0.4601616719
Sum87
Variance2.079637097
MonotonicityNot monotonic
2024-09-10T09:20:36.319379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 8
 
12.7%
1 8
 
12.7%
4 6
 
9.5%
3 6
 
9.5%
5 3
 
4.8%
6 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 8
12.7%
2 8
12.7%
3 6
9.5%
4 6
9.5%
5 3
 
4.8%
ValueCountFrequency (%)
6 1
 
1.6%
5 3
 
4.8%
4 6
9.5%
3 6
9.5%
2 8
12.7%

F01_71
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)21.9%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:36.401238image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.25
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.883716299
Coefficient of variation (CV)0.7534865198
Kurtosis1.067799373
Mean2.5
Median Absolute Deviation (MAD)1
Skewness1.343572327
Sum80
Variance3.548387097
MonotonicityNot monotonic
2024-09-10T09:20:36.492317image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 13
20.6%
2 9
 
14.3%
5 3
 
4.8%
6 2
 
3.2%
4 2
 
3.2%
3 2
 
3.2%
8 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 13
20.6%
2 9
14.3%
3 2
 
3.2%
4 2
 
3.2%
5 3
 
4.8%
ValueCountFrequency (%)
8 1
 
1.6%
6 2
3.2%
5 3
4.8%
4 2
3.2%
3 2
3.2%

F01_72
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5
Distinct (%)15.6%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.84375
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:36.582501image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.221035388
Coefficient of variation (CV)0.4293750816
Kurtosis-0.4522750651
Mean2.84375
Median Absolute Deviation (MAD)1
Skewness0.4306966699
Sum91
Variance1.490927419
MonotonicityNot monotonic
2024-09-10T09:20:36.676931image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 12
 
19.0%
2 9
 
14.3%
5 5
 
7.9%
1 4
 
6.3%
4 2
 
3.2%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 4
 
6.3%
2 9
14.3%
3 12
19.0%
4 2
 
3.2%
5 5
7.9%
ValueCountFrequency (%)
5 5
7.9%
4 2
 
3.2%
3 12
19.0%
2 9
14.3%
1 4
 
6.3%

F01_73
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6
Distinct (%)18.8%
Missing31
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-09-10T09:20:36.765762image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.502685768
Coefficient of variation (CV)0.601074307
Kurtosis1.209196341
Mean2.5
Median Absolute Deviation (MAD)1
Skewness1.186447081
Sum80
Variance2.258064516
MonotonicityNot monotonic
2024-09-10T09:20:36.848829image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 11
 
17.5%
1 9
 
14.3%
3 5
 
7.9%
4 3
 
4.8%
5 3
 
4.8%
7 1
 
1.6%
(Missing) 31
49.2%
ValueCountFrequency (%)
1 9
14.3%
2 11
17.5%
3 5
7.9%
4 3
 
4.8%
5 3
 
4.8%
ValueCountFrequency (%)
7 1
 
1.6%
5 3
 
4.8%
4 3
 
4.8%
3 5
7.9%
2 11
17.5%

Correlations

2024-09-10T09:20:37.217270image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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